46,721 results on '"A. Cobo"'
Search Results
2. 21445. INMUNIDAD HUMORAL PREEXISTENTE CONTRA EL SARAMPIÓN Y EL VIRUS DE LA VARICELA-ZÓSTER EN PACIENTES CON ESCLEROSIS MÚLTIPLE TRAS LA EXPOSICIÓN A TERAPIAS ANTI-CD20: ¿SE PIERDE LA PROTECCIÓN?
- Author
-
R. Carvajal Junco, C. Tur Gómez, P. Carbonell Mirabent, A. Cobo Calvo, H. Ariño Rodríguez, M. Aroca Alsina, G. Arrambide García, L. Bollo, G. Bravo, S. Cárdenas Robledo, J. Castilló Justribó, M. Comabella López, J. Esperalba, I. Galán Cartaña, M. García Sarreón, C. Guio Sánchez, D. Lapuma, L. Midaglia Fernández, A. Pappolla, M. Robles Sánchez, M. Rodríguez Barranco, B. Rodríguez Acevedo, J. Río Izquierdo, P. Tagliani, A. Vidal Jordana, A. Vilaseca Jolonch, A. Zabalza de Torres, J. Sastre Garriga, X. Montalban Gairín, M. Tintoré Subirana, and S. Otero Romero
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2024
- Full Text
- View/download PDF
3. 21436. NEUMONÍA ORGANIZADA SECUNDARIA ASOCIADA A LA INFECCIÓN POR COVID-19 EN PACIENTES CON ENFERMEDADES DESMIELINIZANTES INFLAMATORIAS DEL SISTEMA NERVIOSO CENTRAL TRATADOS CON TERAPIAS ANTI-CD20
- Author
-
R. Carvajal Junco, B. Rodríguez Acevedo, L. García Vasco, A. Zabalza de Torres, H. Ariño Rodríguez, L. Bollo, N. Cabello Clotet, J. Castilló Justribó, A. Cobo Calvo, M. Comabella López, A. Falco Roget, I. Galán Cartaña, M. García Sarreón, I. Gómez Estévez, G. Granados, D. Lapuma, G. Mato Chain, L. Midaglia Fernández, A. Nieto García, S. Otero Romero, A. Pappolla, M. Rodríguez Barranco, J. Río Izquierdo, P. Tagliani, C. Tur Gómez, A. Vidal Jordana, A. Vilaseca Jolonch, A. Villar, J. Sastre Garriga, C. Oreja Guevara, M. Tintoré Subirana, X. Montalban Gairín, and G. Arrambide García
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2024
- Full Text
- View/download PDF
4. 21108. MODELADO DEL RIESGO DE INFECCIÓN EN ESCLEROSIS MÚLTIPLE: EVENTOS INICIALES Y RECURRENTES EN UN ESTUDIO DE COHORTE EMPAREJADO BASADO EN POBLACIÓN EN CATALUÑA
- Author
-
C. Guio Sánchez, S. Cárdenas Robledo, C. Tur Gómez, P. Carbonell Mirabent, R. Carvajal Junco, A. Cobo Calvo, I. Ruiz Camps, A. Albasanz Puig, A. Falcó Roget, D. Romero Herrero, J. Trejo, B. Borras, J. Río Izquierdo, J. Castilló Justribó, N. Mongay Ochoa, A. Vidal Jordana, G. Arrambide García, V. Fernández, B. Rodríguez Acevedo, A. Zalbalza de Torres, L. Midaglia Fernández, L. Bollo ., N. Braga, A. Vilaseca Jolonch, H. Ariño Rodríguez, A. Pappolla, I. Galán Cartaña, M. Comabella López, J. Sastre Garriga, X. Montalban Gairín, M. Tintoré Subirana, and S. Otero Romero
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2024
- Full Text
- View/download PDF
5. 21113. ANÁLISIS LONGITUDINAL DE BIOMARCADORES NEURO-GLIALES SÉRICOS EN MOGAD: ESTUDIO 'MULTIMOGAD'
- Author
-
J. Villacieros Álvarez, S. Mariotto, C. Espejo Ruiz, G. Arrambide García, A. Dinoto, N. Fissolo, L. Gutiérrez, P. Mulero Mula, L. Rubio, P. Nieto, C. Alcalá, J. Meca Lallana, J. Millán, R. Bernard Valnet, I. González, A. Orviz, R. Tellex, L. Navarro, S. Presas Rodríguez, C. Ramo Tello, L. Romero Pinel, S. Martínez Yélamos, J. Coello, A. Alonso, R. Piñar, G. Álvarez, L. Benyahya, S. Trouillet Assant, V. Dyon Tafani, C. Froment, A. Ruet, B. Bourre, R. Deschamps, C. Papei, E. Maillart, P. Kerschen, X. Ayrignac, A. Rovira Cañellas, C. Auger, B. Audoin, X. Montalban Gairín, M. Tintoré Subirana, A. Cobo Calvo, and R. Marignier
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2024
- Full Text
- View/download PDF
6. 21092. MEDIR LA CADENA LIGERA DE LOS NEUROFILAMENTOS MEJORA LA CAPACIDAD PREDICTIVA DE LOS SCORES DE RESPUESTA AL TRATAMIENTO EN ESCLEROSIS MÚLTIPLE
- Author
-
V. Fernández, A. Pappolla, P. Carbonell Mirabent, M. Rodríguez Barranco, M. Castillo Juárez, L. Gutiérrez, N. Fissolo, H. Ariño Rodríguez, C. Auger, L. Bollo, J. Castilló Justribó, A. Cobo Calvo, C. Espejo Ruiz, I. Galán Cartaña, C. Guio Sánchez, D. Lapuma, L. Midaglia Fernández, N. Mongay Ochoa, C. Nos Llopis, S. Otero Romero, B. Rodríguez Acebedo, J. Sastre Garriga, P. Tagliani, C. Tur Gómez, A. Vidal Jordana, A. Vilaseca Jolonch, J. Villacieros Álvarez, A. Zabalza de Torres, A. Rovira Cañellas, M. Tintoré Subirana, M. Comabella López, J. Río Izquierdo, X. Montalban Gairín, and G. Arrambide
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2024
- Full Text
- View/download PDF
7. 20266. EFICACIA Y PREDICTORES DE RESPUESTA A FAMPRIDINA EN UNA MUESTRA DE PACIENTES CON ESCLEROSIS MÚLTIPLE: UN ESTUDIO EN VIDA REAL
- Author
-
E. Martínez Campos, M. Robles, R. Horno, J. Castilló, A. Vidal Jordana, A. Zabalza, B. Rodríguez Acevedo, A. Vilaseca, G. Arrambide, A. Papolla, L. Midaglia, I. Galán, H. Ariño, R. Carvajal, N. Mongay, Á. Cobo Calvo, M. Comabella, J. Sastre Garriga, M. Tintoré, X. Montalban, and J. Rio
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2024
- Full Text
- View/download PDF
8. 21100. EL VALOR AÑADIDO DE NIVELES ELEVADOS EN SUERO DE LA CADENA LIGERA DE LOS FILAMENTOS PARA PREDECIR ESCLEROSIS MÚLTIPLE AGRESIVA EN SÍNDROMES CLÍNICOS AISLADOS
- Author
-
M. García Sarreón, E. Reinders, C. Tur Gómez, M. Rodríguez Barranco, N. Fissolo, M. Castillo Juárez, L. Gutiérrez, M. Alberich, R. Carvajal Junco, A. Pappolla, L. Bollo, A. Cobo Calvo, J. Villacieros Álvarez, A. Zabalza de Torres, H. Ariño Rodríguez, P. Tagliani, A. Vilaseca Jolonch, D. Lapuma, A. Vidal Jordana, B. Rodríguez Acebedo, J. Castilló Justribó, I. Galán Cartaña, J. Río Izquierdo, A. Rovira Cañellas, M. Comabella López, J. Sastre Garriga, M. Tintoré Subirana, X. Montalban Gairín, and G. Arrambide García
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2024
- Full Text
- View/download PDF
9. 21417. EFECTIVIDAD DE OCRELIZUMAB EN PACIENTES CON ESCLEROSIS MÚLTIPLE REMITENTE RECURRENTE: ESTUDIO DEL IMPACTO DEL TRATAMIENTO PREVIO
- Author
-
L. Giramé Rizzo, L. Gómez Dabó, R. Carvajal Junco, J. Rio Izquierdo, C. Tur Gomez, G. Arrambide Garcia, A. Cobo Calvo, A. Zabalza de Torres, H. Ariño Rodríguez, P. Tagliani, A. Vilaseca Jolonch, L. Bollo, A. Pappolla, M. Garcia Sarreon, N. Mongay Ochoa, B. Rodríguez Acevedo, J. Castilló Justribó, L. Midaglia Fernández, I. Galán Cartaña, M. Comabella López, C. Auger, A. Rovira Cañellas, J. Sastre Garriga, M. Tintoré Subirana, X. Montalban Gairín, and A. Vidal Jordana
- Subjects
Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2024
- Full Text
- View/download PDF
10. Energy Resolution from a Silicon Detector’s Interstrip Regions
- Author
-
J. A. Dueñas, A. Cobo, F. Galtarossa, A. Goasduff, D. Mengoni, and A. M. Sánchez-Benítez
- Subjects
strip detectors ,interstrip effects ,interstrip energy resolution ,GRIT detector ,Chemical technology ,TP1-1185 - Abstract
In this work, we present a novel approach for improving the energy resolution from particles impinging on the interstrip regions of silicon strip detectors. We employed three double-sided strip detectors from the GRIT array and a triple α-source under laboratory conditions. The results showed that the interstrip resolution depends not only on the impinging side but also on whether it is a P- or an N-interstrip. We obtained the interstrip energy resolution down to 0.4%, and, depending on the scenario, the resolution was enhanced by a factor of 2. We believe that this new rotation method allows for the possibility of applying particle identification methods on interstrip events, which in most cases are dismissed during data recording.
- Published
- 2024
- Full Text
- View/download PDF
11. Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking
- Author
-
Chung, Yi-Ling, Cobo, Aurora, and Serna, Pablo
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Computers and Society - Abstract
Robust automatic fact-checking systems have the potential to combat online misinformation at scale. However, most existing research primarily focuses on English. In this paper, we introduce MultiSynFact, the first large-scale multilingual fact-checking dataset containing 2.2M claim-source pairs designed to support Spanish, German, English, and other low-resource languages. Our dataset generation pipeline leverages Large Language Models (LLMs), integrating external knowledge from Wikipedia and incorporating rigorous claim validation steps to ensure data quality. We evaluate the effectiveness of MultiSynFact across multiple models and experimental settings. Additionally, we open-source a user-friendly framework to facilitate further research in multilingual fact-checking and dataset generation., Comment: 15 pages, 1 figure, 18 tables
- Published
- 2025
12. The X-ray Integral Field Unit at the end of the Athena reformulation phase
- Author
-
Peille, Philippe, Barret, Didier, Cucchetti, Edoardo, Albouys, Vincent, Piro, Luigi, Simionescu, Aurora, Cappi, Massimo, Bellouard, Elise, Cénac-Morthé, Céline, Daniel, Christophe, Pradines, Alice, Finoguenov, Alexis, Kelley, Richard, Mas-Hesse, J. Miguel, Paltani, Stéphane, Rauw, Gregor, Rozanska, Agata, Svoboda, Jiri, Wilms, Joern, Audard, Marc, Bozzo, Enrico, Costantini, Elisa, Dadina, Mauro, Dauser, Thomas, Decourchelle, Anne, Herder, Jan-Willem den, Goldwurm, Andrea, Jonker, Peter, Markowitz, Alex, Mendez, Mariano, Miniutti, Giovanni, Molendi, Silvano, Nicastro, Fabrizio, Pajot, François, Pointecouteau, Etienne, Pratt, Gabriel W., Schaye, Joop, Vink, Jacco, Webb, Natalie, Bandler, Simon, Barbera, Marco, Ceballos, Maria Teresa, Charles, Ivan, Hartog, Roland den, Doriese, W. Bertrand, Duval, Jean-Marc, Gatti, Flavio, Jackson, Brian, Kilbourne, Caroline, Macculi, Claudio, Martin, Sylvain, Parot, Yann, Porter, Frederick, Prêle, Damien, Ravera, Laurent, Smith, Stephen, Soucek, Jan, Thibert, Tanguy, Tuominen, Eija, Acero, Fabio, Ettori, Stefano, Grosso, Nicolas, Kaastra, Jelle, Mazzotta, Pasquale, Miller, Jon, Sciortino, Salvatore, Beaumont, Sophie, D'Andrea, Matteo, de Plaa, Jelle, Eckart, Megan, Gottardi, Luciano, Leutenegger, Maurice, Lotti, Simone, Molin, Alexei, Natalucci, Lorenzo, Adil, Muhammad Qazi, Argan, Andrea, Cavazzuti, Elisabetta, Fiorini, Mauro, Khosropanah, Pourya, Villegas, Eduardo Medinaceli, Minervini, Gabriele, Perry, James, Pinsard, Frederic, Raulin, Desi, Rigano, Manuela, Roelfsema, Peter, Schwander, Denis, Terron, Santiago, Torrioli, Guido, Ullom, Joel, Zuchniak, Monika, Chaoul, Laurence, Torrejon, Jose Miguel, Brachet, Frank, Cobo, Beatriz, Durkin, Malcolm, Fioretti, Valentina, Geoffray, Hervé, Jacques, Lionel, Kirsch, Christian, Cicero, Ugo Lo, Adams, Joseph, Gloaguen, Emilie, Gonzalez, Manuel, Hull, Samuel, Jellyman, Erik, Kiviranta, Mikko, Sakai, Kazuhiro, Taralli, Emanuele, Vaccaro, Davide, van der Hulst, Paul, van der Kuur, Jan, van Leeuwen, Bert-Joost, van Loon, Dennis, Wakeham, Nicholas, Auricchio, Natalia, Brienza, Daniele, Cheatom, Oscar, Franssen, Philippe, Julien, Sabine, Mer, Isabelle Le, Moirin, David, Silva, Vitor, Todaro, Michela, Clerc, Nicolas, Coleiro, Alexis, Ptak, Andy, Puccetti, Simonetta, Surace, Christian, Abdoelkariem, Shariefa, Adami, Christophe, Aicardi, Corinne, André, Jérôme, Angelinelli, Matteo, Anvar, Shebli, Arnaldi, Luis Horacio, Attard, Anthony, Audley, Damian, Bancel, Florian, Banks, Kimberly, Bernard, Vivian, de Vaate, Jan Geralt Bij, Bonino, Donata, Bonnamy, Anthony, Bonny, Patrick, Boreux, Charles, Bounab, Ayoub, Brigitte, Maïmouna, Bruijn, Marcel, Brysbaert, Clément, Bulgarelli, Andrea, Calarco, Simona, Camus, Thierry, Canourgues, Florent, Capobianco, Vito, Cardiel, Nicolas, Celasco, Edvige, Chen, Si, Chervenak, James, Chiarello, Fabio, Clamagirand, Sébastien, Coeur-Joly, Odile, Corcione, Leonardo, Coriat, Mickael, Coulet, Anais, Courty, Bernard, Coynel, Alexandre, D'Ai, Antonino, Dambrauskas, Eugenio, D'anca, Fabio, Dauner, Lea, De Gerone, Matteo, DeNigris, Natalie, Dercksen, Johannes, de Wit, Martin, Dieleman, Pieter, DiPirro, Michael, Doumayrou, Eric, Duband, Lionel, Dubbeldam, Luc, Dupieux, Michel, Dupourqué, Simon, Durand, Jean Louis, Eckert, Dominique, Ferrando, Philippe, Barusso, Lorenzo Ferrari, Finkbeiner, Fred, Fiocchi, Mariateresa, Fossecave, Hervé, Gabici, Stefano, Gallucci, Giovanni, Gant, Florent, Gao, Jian-Rong, Gastaldello, Fabio, Genolet, Ludovic, Ghizzardi, Simona, Giovannini, Elisa, Giustini, Margherita, Givaudan, Alain, Godet, Olivier, Gomez, Alicia, Gonzalez, Raoul, Gozaliasl, Ghassem, Grandsire, Laurent, Granena, David, Gros, Michel, Guerin, Corentin, Guilhem, Emmanuel, Guizzo, Gian Paolo, Gu, Liyi, Irwin, Kent, Jacquey, Christian, Janiuk, Agnieszka, Jaubert, Jean, Jolly, Antoine, Jourdan, Thierry, Knödlseder, Jürgen, König, Ole, Korb, Andrew, Kreykenbohm, Ingo, Lafforgue, David, Lan, Radek, Larrieu, Maélyss, Laudet, Philippe, Laurent, Philippe, Laurent, Sylvain, Laurenza, Monica, Cam, Maël Le, Lesrel, Jean, Ligori, Sebastiano, Lorenz, Maximilian, Luminari, Alfredo, Madsen, Kristin, Maisonnave, Océane, Marelli, Lorenzo, Marty, Wilfried, Massida, Zoé, Massonet, Didier, Maussang, Irwin, Alonso, Pablo Eleazar Merino, Mesquida, Jean, Mineo, Teresa, Montinaro, Nicola, Murat, David, Nagayoshi, Kenichiro, Nazé, Yaël, Noguès, Loïc, Nouals, François, Ortega, Cristina, Panessa, Francesca, Parodi, Luigi, Piconcelli, Enrico, Pinto, Ciro, Porquet, Delphine, Prouvé, Thomas, Punch, Michael, Rioland, Guillaume, Riollet, Marc-Olivier, Rodriguez, Louis, Roig, Anton, Roncarelli, Mauro, Roucayrol, Lionel, Roudil, Gilles, de Ocenda, Lander Ruiz, Sciortino, Luisa, Simonella, Olivier, Sordet, Michael, Taubenschuss, Ulrich, Terrasa, Guilhem, Terrier, Régis, Ubertini, Pietro, Uhlir, Ludek, Uslenghi, Michela, van Weers, Henk, Varisco, Salvatore, Varniere, Peggy, Volpe, Angela, Walmsley, Gavin, Wise, Michael, Wolnievik, Andreas, and Woźniak, Grzegorz
- Subjects
Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Astrophysics of Galaxies ,Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Solar and Stellar Astrophysics - Abstract
The Athena mission entered a redefinition phase in July 2022, driven by the imperative to reduce the mission cost at completion for the European Space Agency below an acceptable target, while maintaining the flagship nature of its science return. This notably called for a complete redesign of the X-ray Integral Field Unit (X-IFU) cryogenic architecture towards a simpler active cooling chain. Passive cooling via successive radiative panels at spacecraft level is now used to provide a 50 K thermal environment to an X-IFU owned cryostat. 4.5 K cooling is achieved via a single remote active cryocooler unit, while a multi-stage Adiabatic Demagnetization Refrigerator ensures heat lift down to the 50 mK required by the detectors. Amidst these changes, the core concept of the readout chain remains robust, employing Transition Edge Sensor microcalorimeters and a SQUID-based Time-Division Multiplexing scheme. Noteworthy is the introduction of a slower pixel. This enables an increase in the multiplexing factor (from 34 to 48) without compromising the instrument energy resolution, hence keeping significant system margins to the new 4 eV resolution requirement. This allows reducing the number of channels by more than a factor two, and thus the resource demands on the system, while keeping a 4' field of view (compared to 5' before). In this article, we will give an overview of this new architecture, before detailing its anticipated performances. Finally, we will present the new X-IFU schedule, with its short term focus on demonstration activities towards a mission adoption in early 2027., Comment: 44 pages, 14 figures, accepted for publication in Experimental Astronomy
- Published
- 2025
13. TuMag: the tunable magnetograph for the Sunrise III mission
- Author
-
Iniesta, J. C. del Toro, Suárez, D. Orozco, Álvarez-Herrero, A., Kilders, E. Sanchis, Pérez-Grande, I., Cobo, B. Ruiz, Rubio, L. R. Bellot, Jiménez, M. Balaguer, Jiménez, A. C. López, García, D. Álvarez, Más, J. L. Ramos, Carrascosa, J. P. Cobos, Labrousse, P., Mantas, A. J. Moreno, Morales-Fernández, J. M., del Moral, B. Aparicio, Gómez, A. Sánchez, Martínez, E. Bailón, Bailén, F. J., Strecker, H., Siu-Tapia, A. L., Guerrero, P. Santamarina, Vacas, A. Moreno, García, J. Atiénzar, Monteagudo, A. J. Dorantes, Bustamante, I., Tobaruela, A., Fernández-Medina, A., Peral, A. Núñez, Cebollero, M., Garranzo-García, D., Parejo, P. García, Melchor, A. Gonzalo, Rodríguez, A. Sánchez, Campos-Jara, A., Laguna, H., Silva-López, M., Rodríguez, J. Blanco, Blesa, J. L. Gasent, Martínez, P. Rodríguez, Ferreres, A., Palmer, D. Gilabert, Torralbo, I., Piqueras, J., González-Bárcena, D., Fernández, A. J., Expósito, D. Hernández, Mañá, E. Páez, Castelló, E. Magdaleno, Valido, M. Rodríguez, Korpi-Lagg, Andreas, Gandorfer, Achim, Solanki, Sami K., Berkefeld, Thomas, Bernasconi, Pietro, Feller, Alex, Katsukawa, Yukio, Riethmüller, Tino L., Smitha, H. N., Kubo, Masahito, Pillet, Valentín Martínez, Grauf, Bianca, Bell, Alexander, and Carpenter, Michael
- Subjects
Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Solar and Stellar Astrophysics - Abstract
One of the instruments aboard the Sunrise III mission, the Tunable Magnetograph (TuMag), is a tunable imaging spectropolarimeter in visible wavelengths. It is designed to probe the vector magnetic field and the line-of-sight velocity of the photosphere and the lower chromosphere. The quasi-simultaneous observation of two spectral lines provides excellent diagnostic measurements of the magnetic and dynamic coupling in these layers. The key technologies employed for TuMag are an LCVR-based polarimeter and a solid, LiNbO3 Fabry-P\'erot etalon as a spectrometer. However, it also incorporates several innovative features, such as home-made high-sensitivity scientific cameras and a double filter wheel. TuMag can sequentially observe any two out of the three spectral lines of Fe I at 525.02 and 525.06 nm and of Mg I at 517.3 nm. Laboratory measurements have demonstrated outstanding performance, including a wavefront root-mean-square error better than {\lambda}/13 for image quality, a full-width-at-half-maximum of 8.7 pm for the filtergraph transmission profile, and polarimetric efficiencies > 0.54. Here we report on the concept, design, calibration, and integration phases of the instrument, as well as on the data reduction pipeline., Comment: Contains 58 pages and 25 figures; to be published in Solar Physics Topical Collection "The Sunrise III Solar Observatory" (https://link.springer.com/collections/jegdciedig)
- Published
- 2025
14. Sunrise III: Overview of Observatory and Instruments
- Author
-
Korpi-Lagg, Andreas, Gandorfer, Achim, Solanki, Sami K., Iniesta, Jose Carlos del Toro, Katsukawa, Yukio, Bernasconi, Pietro, Berkefeld, Thomas, Feller, Alex, Riethmüller, Tino L., Álvarez-Herrero, Alberto, Kubo, Masahito, Pillet, Valentín Martínez, Smitha, H. N., Suárez, David Orozco, Grauf, Bianca, Carpenter, Michael, Bell, Alexander, Álvarez-Alonso, María-Teresa, García, Daniel Álvarez, del Moral, Beatriz Aparicio, Ayoub, Daniel, Bailén, Francisco Javier, Martínez, Eduardo Bailón, Jiménez, Maria Balaguer, Barthol, Peter, Laguna, Montserrat Bayon, Rubio, Luis R. Bellot, Bergmann, Melani, Rodríguez, Julian Blanco, Bochmann, Jan, Borrero, Juan Manuel, Campos-Jara, Antonio, Durán, Juan Sebastián Castellanos, Cebollero, María, Rodríguez, Aitor Conde, Deutsch, Werner, Eaton, Harry, Fernández-Medina, Ana Belen, Fernandez-Rico, German, Ferreres, Agustin, García, Andrés, Alarcia, Ramón María García, Parejo, Pilar García, Garranzo-García, Daniel, Blesa, José Luis Gasent, Gerber, Karin, Germerott, Dietmar, Palmer, David Gilabert, Gizon, Laurent, Sánchez-Tirado, Miguel Angel Gómez, Gonzalez, David, Melchor, Alejandro Gonzalo, Goodyear, Sam, Hara, Hirohisa, Harnes, Edvarda, Heerlein, Klaus, Heidecke, Frank, Heinrichs, Jan, Expósito, David Hernández, Hirzberger, Johann, Hoelken, Johannes, Hyun, Sangwon, Iglesias, Francisco A., Ishikawa, Ryohtaroh T., Jeon, Minwoo, Kawabata, Yusuke, Kolleck, Martin, Laguna, Hugo, Lomas, Julian, Jiménez, Antonio C. López, Manzano, Paula, Matsumoto, Takuma, Turrado, David Mayo, Meierdierks, Thimo, Meining, Stefan, Monecke, Markus, Morales-Fernández, José Miguel, Mantas, Antonio Jesús Moreno, Vacas, Alejandro Moreno, Müller, Marc Ferenc, Müller, Reinhard, Naito, Yoshihiro, Nakai, Eiji, Peral, Armonía Núñez, Oba, Takayoshi, Palo, Geoffrey, Pérez-Grande, Isabel, Carreño, Javier Piqueras, Preis, Tobias, Przybylski, Damien, Noda, Carlos Quintero, Ramanath, Sandeep, Más, Jose Luis Ramos, Raouafi, Nour, Rivas-Martínez, María-Jesús, Martínez, Pedro Rodríguez, Valido, Manuel Rodríguez, Cobo, Basilio Ruiz, Rodríguez, Antonio Sánchez, Gómez, Antonio Sánchez, Kilders, Esteban Sanchis, Sant, Kamal, Guerrero, Pablo Santamarina, Schulze, Erich, Shimizu, Toshifumi, Silva-López, Manuel, Siu-Tapia, Azaymi L., Sonner, Thomas, Staub, Jan, Strecker, Hanna, Tobaruela, Angel, Torralbo, Ignacio, Tritschler, Alexandra, Tsuzuki, Toshihiro, Uraguchi, Fumihiro, Volkmer, Reiner, Vourlidas, Angelos, Vukadinović, Dušan, Werner, Stephan, and Zerr, Andreas
- Subjects
Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Solar and Stellar Astrophysics - Abstract
In July 2024, Sunrise completed its third successful science flight. The Sunrise III observatory had been upgraded significantly after the two previous successful flights in 2009 and 2013. Three completely new instruments focus on the small-scale physical processes and their complex interaction from the deepest observable layers in the photosphere up to chromospheric heights. Previously poorly explored spectral regions and lines are exploited to paint a three-dimensional picture of the solar atmosphere with unprecedented completeness and level of detail. The full polarimetric information is captured by all three instruments to reveal the interaction between the magnetic fields and the hydrodynamic processes. Two slit-based spectropolarimeters, the Sunrise UV Spectropolarimeter and Imager (SUSI) and the Sunrise Chromospheric Infrared spectro-Polarimeter (SCIP), focus on the near-ultraviolet and the near-infrared regions respectively, and the imaging spectropolarimeter Tunable Magnetograph (TuMag) simultaneously obtains maps of the full field-of-view of $46 \times 46$ Mm$^2$ in the photosphere and the chromosphere in the visible. The instruments are operated in an orchestrated mode, benefiting from a new Image Stabilization and Light Distribution unit (ISLiD), with the Correlating Wavefront Sensor (CWS) providing the autofocus control and an image stability with a root-mean-square value smaller than 0.005''. A new gondola was constructed to significantly improve the telescope pointing stability, required to achieve uninterrupted observations over many hours. Sunrise III was launched successfully on July 10, 2024, from the Esrange Space Center near Kiruna (Sweden). It reached the landing site between the Mackenzie River and the Great Bear Lake in Canada after a flight duration of 6.5 days. In this paper, we give an overview of the Sunrise III observatory and its instruments., Comment: 67 pages, 25 figures; to be published in Solar Physics Topical Collection "The Sunrise III Solar Observatory" (https://link.springer.com/collections/jegdciedig)
- Published
- 2025
15. Many-User Multiple Access with Random User Activity: Achievability Bounds and Efficient Schemes
- Author
-
Liu, Xiaoqi, Cobo, Pablo Pascual, and Venkataramanan, Ramji
- Subjects
Computer Science - Information Theory - Abstract
We study the Gaussian multiple access channel with random user activity, in the regime where the number of users is proportional to the code length. The receiver may know some statistics about the number of active users, but does not know the exact number nor the identities of the active users. We derive two achievability bounds on the probabilities of misdetection, false alarm, and active user error, and propose an efficient CDMA-type scheme whose performance can be compared against these bounds. The first bound is a finite-length result based on Gaussian random codebooks and maximum-likelihood decoding. The second is an asymptotic bound, established using spatially coupled Gaussian codebooks and approximate message passing (AMP) decoding. These bounds can be used to compute an achievable trade-off between the active user density and energy-per-bit, for a fixed user payload and target error rate. The efficient CDMA scheme uses a spatially coupled signature matrix and AMP decoding, and we give rigorous asymptotic guarantees on its error performance. Our analysis provides the first state evolution result for spatially coupled AMP with matrix-valued iterates, which may be of independent interest. Numerical experiments demonstrate the promising error performance of the CDMA scheme for both small and large user payloads, when compared with the two achievability bounds., Comment: 59 pages, 14 figures, a shorter version appeared at IEEE ISIT 2024
- Published
- 2024
16. Test Bench for Highly Segmented GRIT Double-Sided Silicon Strip Detectors: A Detector Quality Control Protocol
- Author
-
J. A. Dueñas, A. Cobo, L. López, F. Galtarossa, A. Goasduff, D. Mengoni, and A. M. Sánchez-Benítez
- Subjects
double-sided silicon strip detector ,silicon detector tech bench ,GRIT collaboration ,Chemical technology ,TP1-1185 - Abstract
This work deals with the characteristics of highly segmented double-sided silicon detectors. These are fundamental parts in many new state-of-the-art particle detection systems, and therefore they must perform optimally. We propose a test bench that can handle 256 electronic channels with off-the-shelf equipment, as well as a detector quality control protocol to ensure that the detectors meet the requirements. Detectors with a large number of strips bring new technological challenges and issues that need to be carefully monitored and understood. One of the standard 500 μm thick detectors of the GRIT array was investigated, undergoing studies that revealed its IV curve, charge collection efficiency, and energy resolution. From the data obtained, we calculated, among other things, the depletion voltage (110 V), the resistivity of the bulk material (9 kΩ·cm), and the electronic noise contribution (8 keV). We present, for the first time, a methodology called “the energy triangle’’ to visualize the effect of charge sharing between two adjacent strips and to study the hit distribution with the interstrip-to-strip hit ratio (ISR).
- Published
- 2023
- Full Text
- View/download PDF
17. 3D MODELING OF RIO MIERA WRECK SHIP MERGING OPTICAL AND MULTIBEAM HIGH RESOLUTION POINTS CLOUD
- Author
-
E. Prado, M. Gómez-Ballesteros, A. Cobo, F. Sánchez, A. Rodriguez-Basalo, B. Arrese, and L. Rodríguez-Cobo
- Subjects
Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
3D reconstruction and virtual reality (VR) technology provide many opportunities for the documentation and dissemination of underwater cultural heritage. Advances in the development of underwater exploration technology have allowed for the first time to accurately reconstruct a complete 3D model of the cargo Río Miera in the Cantabrian Sea. Sunk on December 6, 1951 after a strong collision, the cargo ship Río Miera rests on a sandy bottom about 40 meters deep, very close to the Cantabrian coast. Located in an area of strong currents is a classic objective of the region for the most experienced divers. The survey was carried out this summer in R/V Ramón Margalef of the IEO, acquiring acoustic data with multibeam echo sounders and hundreds of images acquired by a remotely piloted underwater vehicle. The campaign is part of the PhotoMARE project - Underwater Photogrammetry for MArine Renewable Energy. This work describes the workflow regarding the survey, images and acoustic data acquisition, data processing, optic 3D point cloud color enhancement and acoustic and optic dataset merging procedure to obtain a complete 3D model of wreck Río Miera in Cantabrian Sea. Through this project, Spanish Institute of Oceanography – IEO have advanced – combining acoustic and image methods - in the generation of 3D models of archaeological sites and submerged structures.
- Published
- 2019
- Full Text
- View/download PDF
18. Study of Vocational Development, Self-Efficacy and Outcome Expectations in Education Students with and without Disabilities
- Author
-
Maria Enriqueta Cobo Enriquez de Luna, Maria Tamara Polo Sanchez, and Carolina Fernandez Jimenez
- Abstract
Introduction: Based on the Social Cognitive Model of Career Development (SCCT) theory, the academic development process of university students is analyzed. Self-efficacy and outcome expectations are core constructs within the SCCT, which are influenced according to the model by personal factors and predispositions, such as disability, sex or race. Method: The sample consisted of 299 students from the Primary Education Degree and the Early Childhood Education Degree at the University of Granada. The measurement instruments used were the University Biodata Questionnaire (Rocabert et al., 2007), the Generalized Self-Efficacy Scale (Baessler and Schwarzer, 1996) and the Academic Outcome Expectations Scale (Zalazar-Jaine and Cupani, 2018). Results: The study variables showed a direct relationship between them. Validation tests were carried out given the adaptation of one of the instruments, highlighting its suitability for the study. No differences were observed between the levels of vocational development, self-efficacy and outcome expectations in students with and without disabilities. Differences were found regarding the gender variable in terms of self-efficacy and outcome expectations, but not in relation to effective vocational development. Discussion and conclusions: Although the total scores of the combined sample do not differ in a characteristic way in their comparison, aspects such as the periods of vocational interests, perceived barriers to the completion of studies, satisfaction with the chosen career and extrinsic or intrinsic academic outcome expectations do present differences in their assessments with respect to both groups. The exploratory nature of the study is particularly noteworthy, as are the biases of the sample used, both in terms of disability and sex.
- Published
- 2024
- Full Text
- View/download PDF
19. SEMI-AUTOMATIC METHOD OF FAN SURFACE ASSESSMENT TO ACHIEVE GORGONIAN POPULATION STRUCTURE IN LE DANOIS BANK, CANTABRIAN SEA
- Author
-
E. Prado, F. Sánchez, A. Rodríguez-Basalo, A. Altuna, and A. Cobo
- Subjects
Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
This study presents a semi-automatic method to estimate fan surface of a Placogorgia sp. octocoral assemblage using 3D point clouds in El Cachucho MPA at 550 m of depth. The presence of gorgonian forests and deep-sea sponge aggregations in Le Danois Bank was the cause of its declaration as ‘El Cachucho’ Marine Protected Area (MPA), being included in the Natura 2000 network. The Placogorgia sp. is a structuring species of the deep Cantabrian Sea; parameters such as population structure and morphology inform on the overall health of this vulnerable habitat, but the estimation of gorgonian metrics often requires destructive sampling. The use of non-invasive methodology, which does not cause damage or alterations on benthic communities, is particularly necessary in vulnerable ecosystem studies and Marine Protected Areas (MPA) monitoring. This study proposes a semi-automatic methodology to assess gorgonian morphometries fitting planes to colonies. Video transects acquired in Le Danois Bank, during the ECOMARG-2017 survey using the Politolana underwater towed vehicle were used. Using Pix4D Mapper Pro and Cloud Compare software, size and morphometry of fan-shaped gorgonians and forest population structure were assessed. RMS of fitting planes shows that the geometrical figure chosen is suitable to retain the morphometric characteristics of the specimens of this species. The adjustment of semi-automatic values with a sample of digitized surfaces manually is validated (R2=0.97). The results show that gorgonian population was mostly dominated by small colonies. The population structure distribution shows a high proportion (~22%) of recruits (2) of fan surface.
- Published
- 2019
- Full Text
- View/download PDF
20. CTLA4 blockade abrogates KEAP1/STK11-related resistance to PD-(L)1 inhibitors.
- Author
-
Skoulidis, Ferdinandos, Araujo, Haniel, Do, Minh, Qian, Yu, Sun, Xin, Cobo, Ana, Le, John, Montesion, Meagan, Palmer, Rachael, Jahchan, Nadine, Juan, Joseph, Min, Chengyin, Yu, Yi, Pan, Xuewen, Arbour, Kathryn, Vokes, Natalie, Schmidt, Stephanie, Molkentine, David, Owen, Dwight, Memmott, Regan, Patil, Pradnya, Marmarelis, Melina, Awad, Mark, Murray, Joseph, Hellyer, Jessica, Gainor, Justin, Dimou, Anastasios, Bestvina, Christine, Shu, Catherine, Riess, Jonathan, Blakely, Collin, Pecot, Chad, Mezquita, Laura, Tabbó, Fabrizio, Scheffler, Matthias, Digumarthy, Subba, Mooradian, Meghan, Sacher, Adrian, Lau, Sally, Saltos, Andreas, Rotow, Julia, Johnson, Rocio, Liu, Corinne, Stewart, Tyler, Goldberg, Sarah, Killam, Jonathan, Walther, Zenta, Schalper, Kurt, Davies, Kurtis, Woodcock, Mark, Anagnostou, Valsamo, Marrone, Kristen, Forde, Patrick, Ricciuti, Biagio, Venkatraman, Deepti, Van Allen, Eliezer, Cummings, Amy, Goldman, Jonathan, Shaish, Hiram, Kier, Melanie, Katz, Sharyn, Aggarwal, Charu, Ni, Ying, Azok, Joseph, Segal, Jeremy, Ritterhouse, Lauren, Neal, Joel, Lacroix, Ludovic, Elamin, Yasir, Negrao, Marcelo, Le, Xiuning, Lam, Vincent, Lewis, Whitney, Kemp, Haley, Carter, Brett, Roth, Jack, Swisher, Stephen, Lee, Richard, Zhou, Teng, Poteete, Alissa, Kong, Yifan, Takehara, Tomohiro, Paula, Alvaro, Parra Cuentas, Edwin, Behrens, Carmen, Wistuba, Ignacio, Zhang, Jianjun, Blumenschein, George, Gay, Carl, Byers, Lauren, Gibbons, Don, Tsao, Anne, Lee, J, Bivona, Trever, Camidge, D, Gray, Jhannelle, Lieghl, Natasha, Levy, Benjamin, Brahmer, Julie, and Garassino, Marina
- Subjects
Animals ,Female ,Humans ,Male ,Mice ,AMP-Activated Protein Kinase Kinases ,Antibodies ,Monoclonal ,B7-H1 Antigen ,Carcinoma ,Non-Small-Cell Lung ,Clinical Trials ,Phase III as Topic ,CTLA-4 Antigen ,Drug Resistance ,Neoplasm ,Immune Checkpoint Inhibitors ,Kelch-Like ECH-Associated Protein 1 ,Lung Neoplasms ,Mutation ,Nitric Oxide Synthase Type II ,T-Lymphocytes ,Tumor Microenvironment ,Tumor Suppressor Proteins ,Genes ,Tumor Suppressor - Abstract
For patients with advanced non-small-cell lung cancer (NSCLC), dual immune checkpoint blockade (ICB) with CTLA4 inhibitors and PD-1 or PD-L1 inhibitors (hereafter, PD-(L)1 inhibitors) is associated with higher rates of anti-tumour activity and immune-related toxicities, when compared with treatment with PD-(L)1 inhibitors alone. However, there are currently no validated biomarkers to identify which patients will benefit from dual ICB1,2. Here we show that patients with NSCLC who have mutations in the STK11 and/or KEAP1 tumour suppressor genes derived clinical benefit from dual ICB with the PD-L1 inhibitor durvalumab and the CTLA4 inhibitor tremelimumab, but not from durvalumab alone, when added to chemotherapy in the randomized phase III POSEIDON trial3. Unbiased genetic screens identified loss of both of these tumour suppressor genes as independent drivers of resistance to PD-(L)1 inhibition, and showed that loss of Keap1 was the strongest genomic predictor of dual ICB efficacy-a finding that was confirmed in several mouse models of Kras-driven NSCLC. In both mouse models and patients, KEAP1 and STK11 alterations were associated with an adverse tumour microenvironment, which was characterized by a preponderance of suppressive myeloid cells and the depletion of CD8+ cytotoxic T cells, but relative sparing of CD4+ effector subsets. Dual ICB potently engaged CD4+ effector cells and reprogrammed the tumour myeloid cell compartment towards inducible nitric oxide synthase (iNOS)-expressing tumoricidal phenotypes that-together with CD4+ and CD8+ T cells-contributed to anti-tumour efficacy. These data support the use of chemo-immunotherapy with dual ICB to mitigate resistance to PD-(L)1 inhibition in patients with NSCLC who have STK11 and/or KEAP1 alterations.
- Published
- 2024
21. Multi-task Learning Approach for Intracranial Hemorrhage Prognosis
- Author
-
Cobo, Miriam, del Barrio, Amaia Pérez, Fernández-Miranda, Pablo Menéndez, Bellón, Pablo Sanz, Iglesias, Lara Lloret, and Silva, Wilson
- Subjects
Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,I.2 - Abstract
Prognosis after intracranial hemorrhage (ICH) is influenced by a complex interplay between imaging and tabular data. Rapid and reliable prognosis are crucial for effective patient stratification and informed treatment decision-making. In this study, we aim to enhance image-based prognosis by learning a robust feature representation shared between prognosis and the clinical and demographic variables most highly correlated with it. Our approach mimics clinical decision-making by reinforcing the model to learn valuable prognostic data embedded in the image. We propose a 3D multi-task image model to predict prognosis, Glasgow Coma Scale and age, improving accuracy and interpretability. Our method outperforms current state-of-the-art baseline image models, and demonstrates superior performance in ICH prognosis compared to four board-certified neuroradiologists using only CT scans as input. We further validate our model with interpretability saliency maps. Code is available at https://github.com/MiriamCobo/MultitaskLearning_ICH_Prognosis.git., Comment: 16 pages. Accepted at Machine Learning in Medical Imaging Workshop @ MICCAI 2024 (MLMI2024). This is the submitted manuscript with added link to github repo, funding acknowledgements and authors' names and affiliations. No further post submission improvements or corrections were integrated. Final version not published yet
- Published
- 2024
22. Properties of sunspot light bridges on a geometric height scale
- Author
-
Pozuelo, S. Esteban, Ramos, A. Asensio, Baso, C. J. Díaz, and Cobo, B. Ruiz
- Subjects
Astrophysics - Solar and Stellar Astrophysics - Abstract
Investigating light bridges (LBs) helps us comprehend key aspects of sunspots. However, few studies have analyzed the properties of LBs in terms of the geometric height, which is a more realistic perspective given the corrugation of the solar atmosphere. We aim to shed light on LBs by studying the variation in their physical properties with geometric height. We used the SICON code to infer the physical quantities in terms of the optical depth and the Wilson depression values of three LBs hosted by a sunspot observed with Hinode/SP in the Fe I 630 nm pair lines. We also used SIR inversions to cross-check the height variation of the field inclination in the LBs. In both output sets, we performed linear interpolation to convert the physical parameters from optical depth into a geometric height scale in each pixel. We classified each LB as filamentary, grainy, or umbral. They appear as ridges that reach different maximum heights, with the umbral LB being the deepest. While the filamentary LB hosts a plasma inflow from the penumbra, the results for the grainy LB are compatible with an injection of hot plasma through convective cells of reduced field strength. Only a few positions reveal hints suggesting a cusp-like magnetic canopy. Moreover, strong gradients in the magnetic field strength and inclination usually exhibit enhanced electric currents, with the filamentary LB having remarkably strong currents that appear to be related to chromospheric events. The height stratification in filamentary and grainy LBs differ, indicating diverse mechanisms at work. Our results are in general incompatible with a magnetic canopy scenario, and further analysis is needed to confirm whether it exists along the entire LB or only at specific locations. Furthermore, this work assesses the usefulness of SICON when determining the height stratification of solar structures., Comment: 13 pages, 12 figures. Accepted for publication in A&A. Abstract has been abridged
- Published
- 2024
23. Imagen 3
- Author
-
Imagen-Team-Google, Baldridge, Jason, Bauer, Jakob, Bhutani, Mukul, Brichtova, Nicole, Bunner, Andrew, Castrejon, Lluis, Chan, Kelvin, Chen, Yichang, Dieleman, Sander, Du, Yuqing, Eaton-Rosen, Zach, Fei, Hongliang, de Freitas, Nando, Gao, Yilin, Gladchenko, Evgeny, Colmenarejo, Sergio Gómez, Guo, Mandy, Haig, Alex, Hawkins, Will, Hu, Hexiang, Huang, Huilian, Igwe, Tobenna Peter, Kaplanis, Christos, Khodadadeh, Siavash, Kim, Yelin, Konyushkova, Ksenia, Langner, Karol, Lau, Eric, Lawton, Rory, Luo, Shixin, Mokrá, Soňa, Nandwani, Henna, Onoe, Yasumasa, Oord, Aäron van den, Parekh, Zarana, Pont-Tuset, Jordi, Qi, Hang, Qian, Rui, Ramachandran, Deepak, Rane, Poorva, Rashwan, Abdullah, Razavi, Ali, Riachi, Robert, Srinivasan, Hansa, Srinivasan, Srivatsan, Strudel, Robin, Uria, Benigno, Wang, Oliver, Wang, Su, Waters, Austin, Wolff, Chris, Wright, Auriel, Xiao, Zhisheng, Xiong, Hao, Xu, Keyang, van Zee, Marc, Zhang, Junlin, Zhang, Katie, Zhou, Wenlei, Zolna, Konrad, Aboubakar, Ola, Akbulut, Canfer, Akerlund, Oscar, Albuquerque, Isabela, Anderson, Nina, Andreetto, Marco, Aroyo, Lora, Bariach, Ben, Barker, David, Ben, Sherry, Berman, Dana, Biles, Courtney, Blok, Irina, Botadra, Pankil, Brennan, Jenny, Brown, Karla, Buckley, John, Bunel, Rudy, Bursztein, Elie, Butterfield, Christina, Caine, Ben, Carpenter, Viral, Casagrande, Norman, Chang, Ming-Wei, Chang, Solomon, Chaudhuri, Shamik, Chen, Tony, Choi, John, Churbanau, Dmitry, Clement, Nathan, Cohen, Matan, Cole, Forrester, Dektiarev, Mikhail, Du, Vincent, Dutta, Praneet, Eccles, Tom, Elue, Ndidi, Feden, Ashley, Fruchter, Shlomi, Garcia, Frankie, Garg, Roopal, Ge, Weina, Ghazy, Ahmed, Gipson, Bryant, Goodman, Andrew, Górny, Dawid, Gowal, Sven, Gupta, Khyatti, Halpern, Yoni, Han, Yena, Hao, Susan, Hayes, Jamie, Heek, Jonathan, Hertz, Amir, Hirst, Ed, Hoogeboom, Emiel, Hou, Tingbo, Howard, Heidi, Ibrahim, Mohamed, Ike-Njoku, Dirichi, Iljazi, Joana, Ionescu, Vlad, Isaac, William, Jana, Reena, Jennings, Gemma, Jenson, Donovon, Jia, Xuhui, Jones, Kerry, Ju, Xiaoen, Kajic, Ivana, Ayan, Burcu Karagol, Kelly, Jacob, Kothawade, Suraj, Kouridi, Christina, Ktena, Ira, Kumakaw, Jolanda, Kurniawan, Dana, Lagun, Dmitry, Lavitas, Lily, Lee, Jason, Li, Tao, Liang, Marco, Li-Calis, Maggie, Liu, Yuchi, Alberca, Javier Lopez, Lorrain, Matthieu Kim, Lu, Peggy, Lum, Kristian, Ma, Yukun, Malik, Chase, Mellor, John, Mensink, Thomas, Mosseri, Inbar, Murray, Tom, Nematzadeh, Aida, Nicholas, Paul, Nørly, Signe, Oliveira, João Gabriel, Ortiz-Jimenez, Guillermo, Paganini, Michela, Paine, Tom Le, Paiss, Roni, Parrish, Alicia, Peckham, Anne, Peswani, Vikas, Petrovski, Igor, Pfaff, Tobias, Pirozhenko, Alex, Poplin, Ryan, Prabhu, Utsav, Qi, Yuan, Rahtz, Matthew, Rashtchian, Cyrus, Rastogi, Charvi, Raul, Amit, Rebuffi, Sylvestre-Alvise, Ricco, Susanna, Riedel, Felix, Robinson, Dirk, Rohatgi, Pankaj, Rosgen, Bill, Rumbley, Sarah, Ryu, Moonkyung, Salgado, Anthony, Salimans, Tim, Singla, Sahil, Schroff, Florian, Schumann, Candice, Shah, Tanmay, Shaw, Eleni, Shaw, Gregory, Shillingford, Brendan, Shivakumar, Kaushik, Shtatnov, Dennis, Singer, Zach, Sluzhaev, Evgeny, Sokolov, Valerii, Sottiaux, Thibault, Stimberg, Florian, Stone, Brad, Stutz, David, Su, Yu-Chuan, Tabellion, Eric, Tang, Shuai, Tao, David, Thomas, Kurt, Thornton, Gregory, Toor, Andeep, Udrescu, Cristian, Upadhyay, Aayush, Vasconcelos, Cristina, Vasiloff, Alex, Voynov, Andrey, Walker, Amanda, Wang, Luyu, Wang, Miaosen, Wang, Simon, Wang, Stanley, Wang, Qifei, Wang, Yuxiao, Weisz, Ágoston, Wiles, Olivia, Wu, Chenxia, Xu, Xingyu Federico, Xue, Andrew, Yang, Jianbo, Yu, Luo, Yurtoglu, Mete, Zand, Ali, Zhang, Han, Zhang, Jiageng, Zhao, Catherine, Zhaxybay, Adilet, Zhou, Miao, Zhu, Shengqi, Zhu, Zhenkai, Bloxwich, Dawn, Bordbar, Mahyar, Cobo, Luis C., Collins, Eli, Dai, Shengyang, Doshi, Tulsee, Dragan, Anca, Eck, Douglas, Hassabis, Demis, Hsiao, Sissie, Hume, Tom, Kavukcuoglu, Koray, King, Helen, Krawczyk, Jack, Li, Yeqing, Meier-Hellstern, Kathy, Orban, Andras, Pinsky, Yury, Subramanya, Amar, Vinyals, Oriol, Yu, Ting, and Zwols, Yori
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
We introduce Imagen 3, a latent diffusion model that generates high quality images from text prompts. We describe our quality and responsibility evaluations. Imagen 3 is preferred over other state-of-the-art (SOTA) models at the time of evaluation. In addition, we discuss issues around safety and representation, as well as methods we used to minimize the potential harm of our models.
- Published
- 2024
24. Quantitative Group Testing and Pooled Data in the Linear Regime with Sublinear Tests
- Author
-
Tan, Nelvin, Cobo, Pablo Pascual, and Venkataramanan, Ramji
- Subjects
Computer Science - Information Theory ,Electrical Engineering and Systems Science - Signal Processing - Abstract
In the pooled data problem, the goal is to identify the categories associated with a large collection of items via a sequence of pooled tests. Each pooled test reveals the number of items in the pool belonging to each category. A prominent special case is quantitative group testing (QGT), which is the case of pooled data with two categories. We consider these problems in the non-adaptive and linear regime, where the fraction of items in each category is of constant order. We propose a scheme with a spatially coupled Bernoulli test matrix and an efficient approximate message passing (AMP) algorithm for recovery. We rigorously characterize its asymptotic performance in both the noiseless and noisy settings, and prove that in the noiseless case, the AMP algorithm achieves almost-exact recovery with a number of tests sublinear in the number of items. For both QGT and pooled data, this is the first efficient scheme that provably achieves recovery in the linear regime with a sublinear number of tests, with performance degrading gracefully in the presence of noise. Numerical simulations illustrate the benefits of the spatially coupled scheme at finite dimensions, showing that it outperforms i.i.d. test designs as well as other recovery algorithms based on convex programming., Comment: 49 pages, 6 figures
- Published
- 2024
25. Observation of quantum effects on radiation reaction in strong fields
- Author
-
Los, E. E., Gerstmayr, E., Arran, C., Streeter, M. J. V., Colgan, C., Cobo, C. C., Kettle, B., Blackburn, T. G., Bourgeois, N., Calvin, L., Carderelli, J., Cavanagh, N., Di Piazza, S. J. D. Dann A., Fitzgarrald, R., Ilderton, A., Keitel, C. H., Marklund, M., McKenna, P., Murphy, C. D., Najmudin, Z., Parsons, P., Rajeev, P. P., Symes, D. R., Tamburini, M., Thomas, A. G. R., Wood, J. C., Zepf, M., Sarri, G., Ridgers, C. P., and Mangles, S. P. D
- Subjects
High Energy Physics - Phenomenology ,Physics - Plasma Physics - Abstract
Radiation reaction describes the effective force experienced by an accelerated charge due to radiation emission. Quantum effects dominate charge dynamics and radiation production[1][2] for charges accelerated by fields with strengths approaching the Schwinger field, $\mathbf{E_{sch}=}$\textbf{\SI[detect-weight]{1.3e18}{\volt\per\metre}[3]. Such fields exist in extreme astrophysical environments such as pulsar magnetospheres[4], may be accessed by high-power laser systems[5-7], dense particle beams interacting with plasma[8], crystals[9], and at the interaction point of next generation particle colliders[10]. Classical radiation reaction theories do not limit the frequency of radiation emitted by accelerating charges and omit stochastic effects inherent in photon emission[11], thus demanding a quantum treatment. Two quantum radiation reaction models, the quantum-continuous[12] and quantum-stochastic[13] models, correct the former issue, while only the quantum-stochastic model incorporates stochasticity[12]. Such models are of fundamental importance, providing insight into the effect of the electron self-force on its dynamics in electromagnetic fields. The difficulty of accessing conditions where quantum effects dominate inhibited previous efforts to observe quantum radiation reaction in charged particle dynamics with high significance. We report the first direct, high significance $(>5{\sigma})$ observation of strong-field radiation reaction on charged particles. Furthermore, we obtain strong evidence favouring the quantum radiation reaction models, which perform equivalently, over the classical model. Robust model comparison was facilitated by a novel Bayesian framework which inferred collision parameters. This framework has widespread utility for experiments where parameters governing lepton-laser collisions cannot be directly measured, including those using conventional accelerators., Comment: 31 pages, 14 figures
- Published
- 2024
26. Efficacy and safety of colistin plus beta-lactams for bone and joint infection caused by fluoroquinolone-resistant gram-negative bacilli: a prospective multicenter study: Efficacy and safety of colistin plus beta-lactams…
- Author
-
Mancheño-Losa, Mikel, Murillo, Oscar, Benavent, Eva, Sorlí, Luisa, Riera, Melchor, Cobo, Javier, Benito, Natividad, Morata, Laura, Ribera, Alba, Sobrino, Beatriz, Fernández-Sampedro, Marta, Múñez, Elena, Bahamonde, Alberto, Barbero, José María, del Toro, Mª Dolores, Villa, Jenifer, Rigo-Bonnin, Raül, Luque, Sonia, García-Luque, Isabel, Oliver, Antonio, Esteban, Jaime, and Lora-Tamayo, Jaime
- Published
- 2025
- Full Text
- View/download PDF
27. A multidimensional fecal microbial and inflammatory biomarker profiling in preterm and full-term neonates
- Author
-
Hannawayya, Rita, Puentes, Rodrigo, Mirzadzare, Niloofar, Cirone, Karina, Amin, Harish, Soraisham, Amuchou, Alshaikh, Belal, Thomas, Sumesh, and Cobo, Eduardo R.
- Published
- 2025
- Full Text
- View/download PDF
28. Laryngeal Abscess: A 34-Year Review
- Author
-
Veiga-alonso, Aida, Cobo-Díaz, Ramón, Salvatierra-Vicario, Belén, Corriols-Noval, Patricia, and Morales-Angulo, Carmelo
- Published
- 2025
- Full Text
- View/download PDF
29. Trends in serotype distribution and antimicrobial susceptibility pattern of invasive Haemophilus influenzae isolates from Brazil, 2009–2021
- Author
-
Zanella, Rosemeire Cobo, Bokermann, Sérgio, Galhardo, Marta, Gava, Caroline, Almeida, Samanta Cristine Grassi, Pereira, Gabriela Andrade, and de Lemos, Ana Paula Silva
- Published
- 2025
- Full Text
- View/download PDF
30. Influence of the addition of carbon fibers on the properties of hydraulic lime mortars: comparison with glass and basalt fibers
- Author
-
A. Bustos, E. Moreno, F. González, and A. Cobo
- Subjects
mortar ,hydraulic lime ,fibre reinforcement ,mechanical properties ,characterization ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
In recent years, the use of hydraulic lime in conservation and restoration of historic buildings has increased due to the pathological processes involved in the use of Portland cement. This investigation determines the properties of hydraulic lime mortars with added carbon fibers for their possible use in restoration of architectural heritage. The results obtained are compared with mortars to which glass and basalt fibers have been added. The results show that the fibers affect significantly the behaviour of the mortar. Although the fibers have a negative impact in the workability and increase the air void content, they improve significantly the mechanical strengths. Although no relevant differences have been found in the pre-cracking behaviour, it has been proven that the fibers avoid a fragile behaviour of the mortar, showing a better post-cracking behaviour. Mortars with carbon fibers are the ones that show the best performance, increasing the toughness up to 12080% over the reference mortars.
- Published
- 2020
- Full Text
- View/download PDF
31. Education Technology During the Pandemic and Future Emergencies
- Author
-
Reich, Justin, Cobo, Cristóbal, Dryden-Peterson, Sarah, Klopfer, Eric, Kamenetz, Anya, Trust, Torrey, Christakis, Dimitri A., editor, and Hale, Lauren, editor
- Published
- 2025
- Full Text
- View/download PDF
32. Web-Based System for the Diagnosis of Canine Diseases Using Data Mining Techniques
- Author
-
Aguirre-Munizaga, Maritza, Carrasco, Fabrizio, Aviles, Fernando, Samaniego-Cobo, Teresa, Castro, César Morán, Ghosh, Ashish, Editorial Board Member, Valencia-García, Rafael, editor, Borodulina, Tamara, editor, Del Cioppo-Morstadt, Javier, editor, Moran-Castro, Cesar Ernesto, editor, and Vera-Lucio, Néstor, editor
- Published
- 2025
- Full Text
- View/download PDF
33. Multi-task Learning Approach for Intracranial Hemorrhage Prognosis
- Author
-
Cobo, Miriam, Pérez del Barrio, Amaia, Menéndez Fernández-Miranda, Pablo, Sanz Bellón, Pablo, Lloret Iglesias, Lara, Silva, Wilson, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Xu, Xuanang, editor, Cui, Zhiming, editor, Rekik, Islem, editor, Ouyang, Xi, editor, and Sun, Kaicong, editor
- Published
- 2025
- Full Text
- View/download PDF
34. Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams
- Author
-
Schommartz, Jasper O., Klein, Dominik K., Cobo, Juan C. Alzate, and Weeger, Oliver
- Subjects
Computer Science - Computational Engineering, Finance, and Science - Abstract
We present neural network-based constitutive models for hyperelastic geometrically exact beams. The proposed models are physics-augmented, i.e., formulated to fulfill important mechanical conditions by construction, which improves accuracy and generalization. Strains and curvatures of the beam are used as input for feed-forward neural networks that represent the effective hyperelastic beam potential. Forces and moments are received as the gradients of the beam potential, ensuring thermodynamic consistency. Normalization conditions are considered via additional projection terms. Symmetry conditions are implemented by an invariant-based approach for transverse isotropy and a more flexible point symmetry constraint, which is included in transverse isotropy but poses fewer restrictions on the constitutive response. Furthermore, a data augmentation approach is proposed to improve the scaling behavior of the models for varying cross-section radii. Additionally, we introduce a parameterization with a scalar parameter to represent ring-shaped cross-sections with different ratios between the inner and outer radii. Formulating the beam potential as a neural network provides a highly flexible model. This enables efficient constitutive surrogate modeling for geometrically exact beams with nonlinear material behavior and cross-sectional deformation, which otherwise would require computationally much more expensive methods. The models are calibrated and tested with data generated for beams with circular and ring-shaped hyperelastic deformable cross-sections at varying inner and outer radii, showing excellent accuracy and generalization. The applicability of the proposed point symmetric model is further demonstrated by applying it in beam simulations. In all studied cases, the proposed model shows excellent performance.
- Published
- 2024
- Full Text
- View/download PDF
35. Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
- Author
-
Jurenka, Irina, Kunesch, Markus, McKee, Kevin R., Gillick, Daniel, Zhu, Shaojian, Wiltberger, Sara, Phal, Shubham Milind, Hermann, Katherine, Kasenberg, Daniel, Bhoopchand, Avishkar, Anand, Ankit, Pîslar, Miruna, Chan, Stephanie, Wang, Lisa, She, Jennifer, Mahmoudieh, Parsa, Rysbek, Aliya, Ko, Wei-Jen, Huber, Andrea, Wiltshire, Brett, Elidan, Gal, Rabin, Roni, Rubinovitz, Jasmin, Pitaru, Amit, McAllister, Mac, Wilkowski, Julia, Choi, David, Engelberg, Roee, Hackmon, Lidan, Levin, Adva, Griffin, Rachel, Sears, Michael, Bar, Filip, Mesar, Mia, Jabbour, Mana, Chaudhry, Arslan, Cohan, James, Thiagarajan, Sridhar, Levine, Nir, Brown, Ben, Gorur, Dilan, Grant, Svetlana, Hashimshoni, Rachel, Weidinger, Laura, Hu, Jieru, Chen, Dawn, Dolecki, Kuba, Akbulut, Canfer, Bileschi, Maxwell, Culp, Laura, Dong, Wen-Xin, Marchal, Nahema, Van Deman, Kelsie, Misra, Hema Bajaj, Duah, Michael, Ambar, Moran, Caciularu, Avi, Lefdal, Sandra, Summerfield, Chris, An, James, Kamienny, Pierre-Alexandre, Mohdi, Abhinit, Strinopoulous, Theofilos, Hale, Annie, Anderson, Wayne, Cobo, Luis C., Efron, Niv, Ananda, Muktha, Mohamed, Shakir, Heymans, Maureen, Ghahramani, Zoubin, Matias, Yossi, Gomes, Ben, and Ibrahim, Lila
- Subjects
Computer Science - Computers and Society ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to offer a personal tutor for every learner and a teaching assistant for every teacher. The full extent of this dream, however, has not yet materialised. We argue that this is primarily due to the difficulties with verbalising pedagogical intuitions into gen AI prompts and the lack of good evaluation practices, reinforced by the challenges in defining excellent pedagogy. Here we present our work collaborating with learners and educators to translate high level principles from learning science into a pragmatic set of seven diverse educational benchmarks, spanning quantitative, qualitative, automatic and human evaluations; and to develop a new set of fine-tuning datasets to improve the pedagogical capabilities of Gemini, introducing LearnLM-Tutor. Our evaluations show that LearnLM-Tutor is consistently preferred over a prompt tuned Gemini by educators and learners on a number of pedagogical dimensions. We hope that this work can serve as a first step towards developing a comprehensive educational evaluation framework, and that this can enable rapid progress within the AI and EdTech communities towards maximising the positive impact of gen AI in education.
- Published
- 2024
36. Combining magneto-hydrostatic constraints with Stokes profile inversions. IV. Imposing $\nabla\cdot{\bf B}=0$ condition
- Author
-
Borrero, Juan M., Yabar, Adur Pastor, and Cobo, Basilio Ruiz
- Subjects
Astrophysics - Solar and Stellar Astrophysics - Abstract
Inferences of the magnetic field in the solar atmosphere by means of spectropolarimetric inversions (i.e., Stokes inversion codes) yield magnetic fields that are non-solenoidal($\nabla\cdot{\bf B} \ne 0$). Because of this, results obtained by such methods are sometimes put into question. We aim to develop and implement a new technique that can retrieve magnetic fields that are simultaneously consistent with observed polarization signals and with the null divergence condition. The method used in this work strictly imposes $\nabla\cdot{\bf B}=0$ by determining the vertical component of the magnetic field ($B_{\rm z}$) from the horizontal ones ($B_{\rm x},B_{\rm y}$). We implement this solenoidal inversion into the FIRTEZ Stokes inversion code and apply it to spectropolarimetric observations of a sunspot observed with the Hinode/SP instrument. We show that the solenoidal inversion retrieves a vertical component of the magnetic field that is consistent with the vertical component of the magnetic field inferred from the non-solenoidal one. We demonstrate that the solenoidal inversion is capable of a better overall fitting to the observed Stokes vector than the non-solenoidal inversion. In fact, the solenoidal magnetic field fits Stokes $V$ worse, but this is compensated by a better fit to Stokes $I$. We find a direct correlation between the worsening in the fit to the circular polarization profiles by the solenoidal inversion and the deviations in the inferred $B_{\rm z}$ with respect to the non-solenoidal inversion. These results support the idea that common Stokes inversion techniques fail to reproduce $\nabla\cdot{\bf B}=0$ mainly as a consequence of the uncertainties in the determination of the individual components of the magnetic field., Comment: 10 pages, 10 figures, accepted for publication in Astronomy & Astrophysics
- Published
- 2024
37. Satisfacción de los estudiantes de medicina hacia la educación en línea en tiempos de pandemia: revisión sistemática de la literatura
- Author
-
Cobo-Beltrán, John K., Torres-Cañizalez, Pablo C., Rivas-Briceño, Evelin del C., and De La Guerra-De Urioste, Juan P.
- Published
- 2024
- Full Text
- View/download PDF
38. Gender identity and sexual orientation in official public statistics: pathways to inclusion
- Author
-
Cobo, Barbara, Chaves Vasconcelos Barreto, Rafael, Ferreira de Barros Longo, Luciene Aparecida, and Tetzner Ramos, Mirna
- Published
- 2024
- Full Text
- View/download PDF
39. Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students.
- Author
-
Mariuxi Vinueza-Morales, Jesennia Cárdenas-Cobo, Jéssica Cabezas-Quinto, and Cristian Vidal Silva
- Published
- 2025
- Full Text
- View/download PDF
40. A new technique for handling non-probability samples based on model-assisted kernel weighting.
- Author
-
Beatriz Cobo, Jorge L. Rueda-Sánchez, Ramón Ferri-García, and María del Mar Rueda
- Published
- 2025
- Full Text
- View/download PDF
41. Ablation of FAS confers allogeneic CD3– CAR T cells with resistance to rejection by T cells and natural killer cells
- Author
-
Menegatti, Silvia, Lopez-Cobo, Sheila, Sutra Del Galy, Aurelien, Fuentealba, Jaime, Silva, Lisseth, Perrin, Laetitia, Heurtebise-Chrétien, Sandrine, Pottez-Jouatte, Valentine, Darbois, Aurelie, Burgdorf, Nina, Privat, Anne-Laure, Simon, Albane, Laprie-Sentenac, Marguerite, Saitakis, Michael, Wick, Bryce, Webber, Beau R., Moriarity, Branden S., Lantz, Olivier, Amigorena, Sebastian, and Menger, Laurie
- Published
- 2024
- Full Text
- View/download PDF
42. Advanced non-squamous NSCLC with no actionable oncogenic driver in Spain: a cross-sectional descriptive analysis of data from the Thoracic Tumor Registry
- Author
-
Carcereny, Enric, Rodriguez-Abreu, Delvys, Lopez, Rafael, Franco, Fabio, Guirado, Maria, Massutí, Bartomeu, Cobo, Manuel, Blasco, Ana, Suay, Guillermo, del Barco, Edel, Ortega, Ana Laura, Sala, Maria Angeles, Cordeiro, Patricia, Bernabé, Reyes, González Larriba, José Luís, Bosch-Barrera, Joaquim, Calzas, Julia, Casal, Joaquín, Padilla, Airam, Sánchez-Hernandez, Alfredo, and Provencio, Mariano
- Published
- 2024
- Full Text
- View/download PDF
43. Cost-Utility Analysis of Adjuvant Olaparib for Germline BRCA1/2-Mutated, High-Risk HER2-Negative Early Breast Cancer in Spain
- Author
-
Cedillo, Sergio, González-Domínguez, Almudena, Ivanova-Markova, Yoana, López López, Rafael, López-Tarruella Cobo, Sara, and Peña Pedrosa, José Alberto
- Published
- 2024
- Full Text
- View/download PDF
44. Is the scientific impact of the LIS themes gender-biased? A bibliometric analysis of the evolution, scientific impact, and relative contribution by gender from 2007 to 2022
- Author
-
Choji, Thamyres T., Cobo, Manuel J., and Moral-Munoz, Jose A.
- Published
- 2024
- Full Text
- View/download PDF
45. Does urban particulate matter hinder COVID-19 transmission rate?
- Author
-
Penuelas, Josep, Fernández-Martínez, Marcos, Cobo, Sandra, Badiella, Llorenç, and Sardans, Jordi
- Published
- 2024
- Full Text
- View/download PDF
46. The first cut is the cheapest: optimizing Athena/X-IFU-like TES detectors resolution by filter truncation
- Author
-
Ceballos, M. Teresa, Cardiel, Nicolás, Cobo, Beatriz, Smith, Stephen J., Witthoeft, Michael C., Peille, Philippe, and Durkin, Malcolm S.
- Subjects
Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The X-ray Integral Field Unit (X-IFU) instrument on the future ESA mission Athena X-ray Observatory is a cryogenic micro-calorimeter array of Transition Edge Sensor (TES) detectors designed to provide spatially-resolved high-resolution spectroscopy. The onboard reconstruction software provides energy, spatial location and arrival time of incoming X-ray photons hitting the detector. A new processing algorithm based on a truncation of the classical optimal filter and called 0-padding, has been recently proposed aiming to reduce the computational cost without compromising energy resolution. Initial tests with simple synthetic data displayed promising results. This study explores the slightly better performance of the 0-padding filter and assess its final application to real data. The goal is to examine the larger sensitivity to instrumental conditions that was previously observed during the analysis of the simulations. This 0-padding technique is thoroughly tested using more realistic simulations and real data acquired from NASA and NIST laboratories employing X-IFU-like TES detectors. Different fitting methods are applied to the data, and a comparative analysis is performed to assess the energy resolution values obtained from these fittings. The 0-padding filter achieves energy resolutions as good as those obtained with standard filters, even with those of larger lengths, across different line complexes and instrumental conditions. This method proves to be useful for energy reconstruction of X-ray photons detected by the TES detectors provided proper corrections for baseline drift and jitter effects are applied. The finding is highly promising especially for onboard processing, offering efficiency in computational resources and facilitating the analysis of sources with higher count rates at high resolution., Comment: 35 pages, 26 figures, published version
- Published
- 2024
- Full Text
- View/download PDF
47. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- Author
-
Gemini Team, Georgiev, Petko, Lei, Ving Ian, Burnell, Ryan, Bai, Libin, Gulati, Anmol, Tanzer, Garrett, Vincent, Damien, Pan, Zhufeng, Wang, Shibo, Mariooryad, Soroosh, Ding, Yifan, Geng, Xinyang, Alcober, Fred, Frostig, Roy, Omernick, Mark, Walker, Lexi, Paduraru, Cosmin, Sorokin, Christina, Tacchetti, Andrea, Gaffney, Colin, Daruki, Samira, Sercinoglu, Olcan, Gleicher, Zach, Love, Juliette, Voigtlaender, Paul, Jain, Rohan, Surita, Gabriela, Mohamed, Kareem, Blevins, Rory, Ahn, Junwhan, Zhu, Tao, Kawintiranon, Kornraphop, Firat, Orhan, Gu, Yiming, Zhang, Yujing, Rahtz, Matthew, Faruqui, Manaal, Clay, Natalie, Gilmer, Justin, Co-Reyes, JD, Penchev, Ivo, Zhu, Rui, Morioka, Nobuyuki, Hui, Kevin, Haridasan, Krishna, Campos, Victor, Mahdieh, Mahdis, Guo, Mandy, Hassan, Samer, Kilgour, Kevin, Vezer, Arpi, Cheng, Heng-Tze, de Liedekerke, Raoul, Goyal, Siddharth, Barham, Paul, Strouse, DJ, Noury, Seb, Adler, Jonas, Sundararajan, Mukund, Vikram, Sharad, Lepikhin, Dmitry, Paganini, Michela, Garcia, Xavier, Yang, Fan, Valter, Dasha, Trebacz, Maja, Vodrahalli, Kiran, Asawaroengchai, Chulayuth, Ring, Roman, Kalb, Norbert, Soares, Livio Baldini, Brahma, Siddhartha, Steiner, David, Yu, Tianhe, Mentzer, Fabian, He, Antoine, Gonzalez, Lucas, Xu, Bibo, Kaufman, Raphael Lopez, Shafey, Laurent El, Oh, Junhyuk, Hennigan, Tom, Driessche, George van den, Odoom, Seth, Lucic, Mario, Roelofs, Becca, Lall, Sid, Marathe, Amit, Chan, Betty, Ontanon, Santiago, He, Luheng, Teplyashin, Denis, Lai, Jonathan, Crone, Phil, Damoc, Bogdan, Ho, Lewis, Riedel, Sebastian, Lenc, Karel, Yeh, Chih-Kuan, Chowdhery, Aakanksha, Xu, Yang, Kazemi, Mehran, Amid, Ehsan, Petrushkina, Anastasia, Swersky, Kevin, Khodaei, Ali, Chen, Gowoon, Larkin, Chris, Pinto, Mario, Yan, Geng, Badia, Adria Puigdomenech, Patil, Piyush, Hansen, Steven, Orr, Dave, Arnold, Sebastien M. R., Grimstad, Jordan, Dai, Andrew, Douglas, Sholto, Sinha, Rishika, Yadav, Vikas, Chen, Xi, Gribovskaya, Elena, Austin, Jacob, Zhao, Jeffrey, Patel, Kaushal, Komarek, Paul, Austin, Sophia, Borgeaud, Sebastian, Friso, Linda, Goyal, Abhimanyu, Caine, Ben, Cao, Kris, Chung, Da-Woon, Lamm, Matthew, Barth-Maron, Gabe, Kagohara, Thais, Olszewska, Kate, Chen, Mia, Shivakumar, Kaushik, Agarwal, Rishabh, Godhia, Harshal, Rajwar, Ravi, Snaider, Javier, Dotiwalla, Xerxes, Liu, Yuan, Barua, Aditya, Ungureanu, Victor, Zhang, Yuan, Batsaikhan, Bat-Orgil, Wirth, Mateo, Qin, James, Danihelka, Ivo, Doshi, Tulsee, Chadwick, Martin, Chen, Jilin, Jain, Sanil, Le, Quoc, Kar, Arjun, Gurumurthy, Madhu, Li, Cheng, Sang, Ruoxin, Liu, Fangyu, Lamprou, Lampros, Munoz, Rich, Lintz, Nathan, Mehta, Harsh, Howard, Heidi, Reynolds, Malcolm, Aroyo, Lora, Wang, Quan, Blanco, Lorenzo, Cassirer, Albin, Griffith, Jordan, Das, Dipanjan, Lee, Stephan, Sygnowski, Jakub, Fisher, Zach, Besley, James, Powell, Richard, Ahmed, Zafarali, Paulus, Dominik, Reitter, David, Borsos, Zalan, Joshi, Rishabh, Pope, Aedan, Hand, Steven, Selo, Vittorio, Jain, Vihan, Sethi, Nikhil, Goel, Megha, Makino, Takaki, May, Rhys, Yang, Zhen, Schalkwyk, Johan, Butterfield, Christina, Hauth, Anja, Goldin, Alex, Hawkins, Will, Senter, Evan, Brin, Sergey, Woodman, Oliver, Ritter, Marvin, Noland, Eric, Giang, Minh, Bolina, Vijay, Lee, Lisa, Blyth, Tim, Mackinnon, Ian, Reid, Machel, Sarvana, Obaid, Silver, David, Chen, Alexander, Wang, Lily, Maggiore, Loren, Chang, Oscar, Attaluri, Nithya, Thornton, Gregory, Chiu, Chung-Cheng, Bunyan, Oskar, Levine, Nir, Chung, Timothy, Eltyshev, Evgenii, Si, Xiance, Lillicrap, Timothy, Brady, Demetra, Aggarwal, Vaibhav, Wu, Boxi, Xu, Yuanzhong, McIlroy, Ross, Badola, Kartikeya, Sandhu, Paramjit, Moreira, Erica, Stokowiec, Wojciech, Hemsley, Ross, Li, Dong, Tudor, Alex, Shyam, Pranav, Rahimtoroghi, Elahe, Haykal, Salem, Sprechmann, Pablo, Zhou, Xiang, Mincu, Diana, Li, Yujia, Addanki, Ravi, Krishna, Kalpesh, Wu, Xiao, Frechette, Alexandre, Eyal, Matan, Dafoe, Allan, Lacey, Dave, Whang, Jay, Avrahami, Thi, Zhang, Ye, Taropa, Emanuel, Lin, Hanzhao, Toyama, Daniel, Rutherford, Eliza, Sano, Motoki, Choe, HyunJeong, Tomala, Alex, Safranek-Shrader, Chalence, Kassner, Nora, Pajarskas, Mantas, Harvey, Matt, Sechrist, Sean, Fortunato, Meire, Lyu, Christina, Elsayed, Gamaleldin, Kuang, Chenkai, Lottes, James, Chu, Eric, Jia, Chao, Chen, Chih-Wei, Humphreys, Peter, Baumli, Kate, Tao, Connie, Samuel, Rajkumar, Santos, Cicero Nogueira dos, Andreassen, Anders, Rakićević, Nemanja, Grewe, Dominik, Kumar, Aviral, Winkler, Stephanie, Caton, Jonathan, Brock, Andrew, Dalmia, Sid, Sheahan, Hannah, Barr, Iain, Miao, Yingjie, Natsev, Paul, Devlin, Jacob, Behbahani, Feryal, Prost, Flavien, Sun, Yanhua, Myaskovsky, Artiom, Pillai, Thanumalayan Sankaranarayana, Hurt, Dan, Lazaridou, Angeliki, Xiong, Xi, Zheng, Ce, Pardo, Fabio, Li, Xiaowei, Horgan, Dan, Stanton, Joe, Ambar, Moran, Xia, Fei, Lince, Alejandro, Wang, Mingqiu, Mustafa, Basil, Webson, Albert, Lee, Hyo, Anil, Rohan, Wicke, Martin, Dozat, Timothy, Sinha, Abhishek, Piqueras, Enrique, Dabir, Elahe, Upadhyay, Shyam, Boral, Anudhyan, Hendricks, Lisa Anne, Fry, Corey, Djolonga, Josip, Su, Yi, Walker, Jake, Labanowski, Jane, Huang, Ronny, Misra, Vedant, Chen, Jeremy, Skerry-Ryan, RJ, Singh, Avi, Rijhwani, Shruti, Yu, Dian, Castro-Ros, Alex, Changpinyo, Beer, Datta, Romina, Bagri, Sumit, Hrafnkelsson, Arnar Mar, Maggioni, Marcello, Zheng, Daniel, Sulsky, Yury, Hou, Shaobo, Paine, Tom Le, Yang, Antoine, Riesa, Jason, Rogozinska, Dominika, Marcus, Dror, Badawy, Dalia El, Zhang, Qiao, Wang, Luyu, Miller, Helen, Greer, Jeremy, Sjos, Lars Lowe, Nova, Azade, Zen, Heiga, Chaabouni, Rahma, Rosca, Mihaela, Jiang, Jiepu, Chen, Charlie, Liu, Ruibo, Sainath, Tara, Krikun, Maxim, Polozov, Alex, Lespiau, Jean-Baptiste, Newlan, Josh, Cankara, Zeyncep, Kwak, Soo, Xu, Yunhan, Chen, Phil, Coenen, Andy, Meyer, Clemens, Tsihlas, Katerina, Ma, Ada, Gottweis, Juraj, Xing, Jinwei, Gu, Chenjie, Miao, Jin, Frank, Christian, Cankara, Zeynep, Ganapathy, Sanjay, Dasgupta, Ishita, Hughes-Fitt, Steph, Chen, Heng, Reid, David, Rong, Keran, Fan, Hongmin, van Amersfoort, Joost, Zhuang, Vincent, Cohen, Aaron, Gu, Shixiang Shane, Mohananey, Anhad, Ilic, Anastasija, Tobin, Taylor, Wieting, John, Bortsova, Anna, Thacker, Phoebe, Wang, Emma, Caveness, Emily, Chiu, Justin, Sezener, Eren, Kaskasoli, Alex, Baker, Steven, Millican, Katie, Elhawaty, Mohamed, Aisopos, Kostas, Lebsack, Carl, Byrd, Nathan, Dai, Hanjun, Jia, Wenhao, Wiethoff, Matthew, Davoodi, Elnaz, Weston, Albert, Yagati, Lakshman, Ahuja, Arun, Gao, Isabel, Pundak, Golan, Zhang, Susan, Azzam, Michael, Sim, Khe Chai, Caelles, Sergi, Keeling, James, Sharma, Abhanshu, Swing, Andy, Li, YaGuang, Liu, Chenxi, Bostock, Carrie Grimes, Bansal, Yamini, Nado, Zachary, Anand, Ankesh, Lipschultz, Josh, Karmarkar, Abhijit, Proleev, Lev, Ittycheriah, Abe, Yeganeh, Soheil Hassas, Polovets, George, Faust, Aleksandra, Sun, Jiao, Rrustemi, Alban, Li, Pen, Shivanna, Rakesh, Liu, Jeremiah, Welty, Chris, Lebron, Federico, Baddepudi, Anirudh, Krause, Sebastian, Parisotto, Emilio, Soricut, Radu, Xu, Zheng, Bloxwich, Dawn, Johnson, Melvin, Neyshabur, Behnam, Mao-Jones, Justin, Wang, Renshen, Ramasesh, Vinay, Abbas, Zaheer, Guez, Arthur, Segal, Constant, Nguyen, Duc Dung, Svensson, James, Hou, Le, York, Sarah, Milan, Kieran, Bridgers, Sophie, Gworek, Wiktor, Tagliasacchi, Marco, Lee-Thorp, James, Chang, Michael, Guseynov, Alexey, Hartman, Ale Jakse, Kwong, Michael, Zhao, Ruizhe, Kashem, Sheleem, Cole, Elizabeth, Miech, Antoine, Tanburn, Richard, Phuong, Mary, Pavetic, Filip, Cevey, Sebastien, Comanescu, Ramona, Ives, Richard, Yang, Sherry, Du, Cosmo, Li, Bo, Zhang, Zizhao, Iinuma, Mariko, Hu, Clara Huiyi, Roy, Aurko, Bijwadia, Shaan, Zhu, Zhenkai, Martins, Danilo, Saputro, Rachel, Gergely, Anita, Zheng, Steven, Jia, Dawei, Antonoglou, Ioannis, Sadovsky, Adam, Gu, Shane, Bi, Yingying, Andreev, Alek, Samangooei, Sina, Khan, Mina, Kocisky, Tomas, Filos, Angelos, Kumar, Chintu, Bishop, Colton, Yu, Adams, Hodkinson, Sarah, Mittal, Sid, Shah, Premal, Moufarek, Alexandre, Cheng, Yong, Bloniarz, Adam, Lee, Jaehoon, Pejman, Pedram, Michel, Paul, Spencer, Stephen, Feinberg, Vladimir, Xiong, Xuehan, Savinov, Nikolay, Smith, Charlotte, Shakeri, Siamak, Tran, Dustin, Chesus, Mary, Bohnet, Bernd, Tucker, George, von Glehn, Tamara, Muir, Carrie, Mao, Yiran, Kazawa, Hideto, Slone, Ambrose, Soparkar, Kedar, Shrivastava, Disha, Cobon-Kerr, James, Sharman, Michael, Pavagadhi, Jay, Araya, Carlos, Misiunas, Karolis, Ghelani, Nimesh, Laskin, Michael, Barker, David, Li, Qiujia, Briukhov, Anton, Houlsby, Neil, Glaese, Mia, Lakshminarayanan, Balaji, Schucher, Nathan, Tang, Yunhao, Collins, Eli, Lim, Hyeontaek, Feng, Fangxiaoyu, Recasens, Adria, Lai, Guangda, Magni, Alberto, De Cao, Nicola, Siddhant, Aditya, Ashwood, Zoe, Orbay, Jordi, Dehghani, Mostafa, Brennan, Jenny, He, Yifan, Xu, Kelvin, Gao, Yang, Saroufim, Carl, Molloy, James, Wu, Xinyi, Arnold, Seb, Chang, Solomon, Schrittwieser, Julian, Buchatskaya, Elena, Radpour, Soroush, Polacek, Martin, Giordano, Skye, Bapna, Ankur, Tokumine, Simon, Hellendoorn, Vincent, Sottiaux, Thibault, Cogan, Sarah, Severyn, Aliaksei, Saleh, Mohammad, Thakoor, Shantanu, Shefey, Laurent, Qiao, Siyuan, Gaba, Meenu, Chang, Shuo-yiin, Swanson, Craig, Zhang, Biao, Lee, Benjamin, Rubenstein, Paul Kishan, Song, Gan, Kwiatkowski, Tom, Koop, Anna, Kannan, Ajay, Kao, David, Schuh, Parker, Stjerngren, Axel, Ghiasi, Golnaz, Gibson, Gena, Vilnis, Luke, Yuan, Ye, Ferreira, Felipe Tiengo, Kamath, Aishwarya, Klimenko, Ted, Franko, Ken, Xiao, Kefan, Bhattacharya, Indro, Patel, Miteyan, Wang, Rui, Morris, Alex, Strudel, Robin, Sharma, Vivek, Choy, Peter, Hashemi, Sayed Hadi, Landon, Jessica, Finkelstein, Mara, Jhakra, Priya, Frye, Justin, Barnes, Megan, Mauger, Matthew, Daun, Dennis, Baatarsukh, Khuslen, Tung, Matthew, Farhan, Wael, Michalewski, Henryk, Viola, Fabio, Quitry, Felix de Chaumont, Lan, Charline Le, Hudson, Tom, Wang, Qingze, Fischer, Felix, Zheng, Ivy, White, Elspeth, Dragan, Anca, Alayrac, Jean-baptiste, Ni, Eric, Pritzel, Alexander, Iwanicki, Adam, Isard, Michael, Bulanova, Anna, Zilka, Lukas, Dyer, Ethan, Sachan, Devendra, Srinivasan, Srivatsan, Muckenhirn, Hannah, Cai, Honglong, Mandhane, Amol, Tariq, Mukarram, Rae, Jack W., Wang, Gary, Ayoub, Kareem, FitzGerald, Nicholas, Zhao, Yao, Han, Woohyun, Alberti, Chris, Garrette, Dan, Krishnakumar, Kashyap, Gimenez, Mai, Levskaya, Anselm, Sohn, Daniel, Matak, Josip, Iturrate, Inaki, Chang, Michael B., Xiang, Jackie, Cao, Yuan, Ranka, Nishant, Brown, Geoff, Hutter, Adrian, Mirrokni, Vahab, Chen, Nanxin, Yao, Kaisheng, Egyed, Zoltan, Galilee, Francois, Liechty, Tyler, Kallakuri, Praveen, Palmer, Evan, Ghemawat, Sanjay, Liu, Jasmine, Tao, David, Thornton, Chloe, Green, Tim, Jasarevic, Mimi, Lin, Sharon, Cotruta, Victor, Tan, Yi-Xuan, Fiedel, Noah, Yu, Hongkun, Chi, Ed, Neitz, Alexander, Heitkaemper, Jens, Sinha, Anu, Zhou, Denny, Sun, Yi, Kaed, Charbel, Hulse, Brice, Mishra, Swaroop, Georgaki, Maria, Kudugunta, Sneha, Farabet, Clement, Shafran, Izhak, Vlasic, Daniel, Tsitsulin, Anton, Ananthanarayanan, Rajagopal, Carin, Alen, Su, Guolong, Sun, Pei, V, Shashank, Carvajal, Gabriel, Broder, Josef, Comsa, Iulia, Repina, Alena, Wong, William, Chen, Warren Weilun, Hawkins, Peter, Filonov, Egor, Loher, Lucia, Hirnschall, Christoph, Wang, Weiyi, Ye, Jingchen, Burns, Andrea, Cate, Hardie, Wright, Diana Gage, Piccinini, Federico, Zhang, Lei, Lin, Chu-Cheng, Gog, Ionel, Kulizhskaya, Yana, Sreevatsa, Ashwin, Song, Shuang, Cobo, Luis C., Iyer, Anand, Tekur, Chetan, Garrido, Guillermo, Xiao, Zhuyun, Kemp, Rupert, Zheng, Huaixiu Steven, Li, Hui, Agarwal, Ananth, Ngani, Christel, Goshvadi, Kati, Santamaria-Fernandez, Rebeca, Fica, Wojciech, Chen, Xinyun, Gorgolewski, Chris, Sun, Sean, Garg, Roopal, Ye, Xinyu, Eslami, S. M. Ali, Hua, Nan, Simon, Jon, Joshi, Pratik, Kim, Yelin, Tenney, Ian, Potluri, Sahitya, Thiet, Lam Nguyen, Yuan, Quan, Luisier, Florian, Chronopoulou, Alexandra, Scellato, Salvatore, Srinivasan, Praveen, Chen, Minmin, Koverkathu, Vinod, Dalibard, Valentin, Xu, Yaming, Saeta, Brennan, Anderson, Keith, Sellam, Thibault, Fernando, Nick, Huot, Fantine, Jung, Junehyuk, Varadarajan, Mani, Quinn, Michael, Raul, Amit, Le, Maigo, Habalov, Ruslan, Clark, Jon, Jalan, Komal, Bullard, Kalesha, Singhal, Achintya, Luong, Thang, Wang, Boyu, Rajayogam, Sujeevan, Eisenschlos, Julian, Jia, Johnson, Finchelstein, Daniel, Yakubovich, Alex, Balle, Daniel, Fink, Michael, Agarwal, Sameer, Li, Jing, Dvijotham, Dj, Pal, Shalini, Kang, Kai, Konzelmann, Jaclyn, Beattie, Jennifer, Dousse, Olivier, Wu, Diane, Crocker, Remi, Elkind, Chen, Jonnalagadda, Siddhartha Reddy, Lee, Jong, Holtmann-Rice, Dan, Kallarackal, Krystal, Liu, Rosanne, Vnukov, Denis, Vats, Neera, Invernizzi, Luca, Jafari, Mohsen, Zhou, Huanjie, Taylor, Lilly, Prendki, Jennifer, Wu, Marcus, Eccles, Tom, Liu, Tianqi, Kopparapu, Kavya, Beaufays, Francoise, Angermueller, Christof, Marzoca, Andreea, Sarcar, Shourya, Dib, Hilal, Stanway, Jeff, Perbet, Frank, Trdin, Nejc, Sterneck, Rachel, Khorlin, Andrey, Li, Dinghua, Wu, Xihui, Goenka, Sonam, Madras, David, Goldshtein, Sasha, Gierke, Willi, Zhou, Tong, Liu, Yaxin, Liang, Yannie, White, Anais, Li, Yunjie, Singh, Shreya, Bahargam, Sanaz, Epstein, Mark, Basu, Sujoy, Lao, Li, Ozturel, Adnan, Crous, Carl, Zhai, Alex, Lu, Han, Tung, Zora, Gaur, Neeraj, Walton, Alanna, Dixon, Lucas, Zhang, Ming, Globerson, Amir, Uy, Grant, Bolt, Andrew, Wiles, Olivia, Nasr, Milad, Shumailov, Ilia, Selvi, Marco, Piccinno, Francesco, Aguilar, Ricardo, McCarthy, Sara, Khalman, Misha, Shukla, Mrinal, Galic, Vlado, Carpenter, John, Villela, Kevin, Zhang, Haibin, Richardson, Harry, Martens, James, Bosnjak, Matko, Belle, Shreyas Rammohan, Seibert, Jeff, Alnahlawi, Mahmoud, McWilliams, Brian, Singh, Sankalp, Louis, Annie, Ding, Wen, Popovici, Dan, Simicich, Lenin, Knight, Laura, Mehta, Pulkit, Gupta, Nishesh, Shi, Chongyang, Fatehi, Saaber, Mitrovic, Jovana, Grills, Alex, Pagadora, Joseph, Munkhdalai, Tsendsuren, Petrova, Dessie, Eisenbud, Danielle, Zhang, Zhishuai, Yates, Damion, Mittal, Bhavishya, Tripuraneni, Nilesh, Assael, Yannis, Brovelli, Thomas, Jain, Prateek, Velimirovic, Mihajlo, Akbulut, Canfer, Mu, Jiaqi, Macherey, Wolfgang, Kumar, Ravin, Xu, Jun, Qureshi, Haroon, Comanici, Gheorghe, Wiesner, Jeremy, Gong, Zhitao, Ruddock, Anton, Bauer, Matthias, Felt, Nick, GP, Anirudh, Arnab, Anurag, Zelle, Dustin, Rothfuss, Jonas, Rosgen, Bill, Shenoy, Ashish, Seybold, Bryan, Li, Xinjian, Mudigonda, Jayaram, Erdogan, Goker, Xia, Jiawei, Simsa, Jiri, Michi, Andrea, Yao, Yi, Yew, Christopher, Kan, Steven, Caswell, Isaac, Radebaugh, Carey, Elisseeff, Andre, Valenzuela, Pedro, McKinney, Kay, Paterson, Kim, Cui, Albert, Latorre-Chimoto, Eri, Kim, Solomon, Zeng, William, Durden, Ken, Ponnapalli, Priya, Sosea, Tiberiu, Choquette-Choo, Christopher A., Manyika, James, Robenek, Brona, Vashisht, Harsha, Pereira, Sebastien, Lam, Hoi, Velic, Marko, Owusu-Afriyie, Denese, Lee, Katherine, Bolukbasi, Tolga, Parrish, Alicia, Lu, Shawn, Park, Jane, Venkatraman, Balaji, Talbert, Alice, Rosique, Lambert, Cheng, Yuchung, Sozanschi, Andrei, Paszke, Adam, Kumar, Praveen, Austin, Jessica, Li, Lu, Salama, Khalid, Perz, Bartek, Kim, Wooyeol, Dukkipati, Nandita, Baryshnikov, Anthony, Kaplanis, Christos, Sheng, XiangHai, Chervonyi, Yuri, Unlu, Caglar, Casas, Diego de Las, Askham, Harry, Tunyasuvunakool, Kathryn, Gimeno, Felix, Poder, Siim, Kwak, Chester, Miecnikowski, Matt, Dimitriev, Alek, Parisi, Aaron, Liu, Dangyi, Tsai, Tomy, Shevlane, Toby, Kouridi, Christina, Garmon, Drew, Goedeckemeyer, Adrian, Brown, Adam R., Vijayakumar, Anitha, Elqursh, Ali, Jazayeri, Sadegh, Huang, Jin, Carthy, Sara Mc, Hoover, Jay, Kim, Lucy, Kumar, Sandeep, Chen, Wei, Biles, Courtney, Bingham, Garrett, Rosen, Evan, Wang, Lisa, Tan, Qijun, Engel, David, Pongetti, Francesco, de Cesare, Dario, Hwang, Dongseong, Yu, Lily, Pullman, Jennifer, Narayanan, Srini, Levin, Kyle, Gopal, Siddharth, Li, Megan, Aharoni, Asaf, Trinh, Trieu, Lo, Jessica, Casagrande, Norman, Vij, Roopali, Matthey, Loic, Ramadhana, Bramandia, Matthews, Austin, Carey, CJ, Johnson, Matthew, Goranova, Kremena, Shah, Rohin, Ashraf, Shereen, Dasgupta, Kingshuk, Larsen, Rasmus, Wang, Yicheng, Vuyyuru, Manish Reddy, Jiang, Chong, Ijazi, Joana, Osawa, Kazuki, Smith, Celine, Boppana, Ramya Sree, Bilal, Taylan, Koizumi, Yuma, Xu, Ying, Altun, Yasemin, Shabat, Nir, Bariach, Ben, Korchemniy, Alex, Choo, Kiam, Ronneberger, Olaf, Iwuanyanwu, Chimezie, Zhao, Shubin, Soergel, David, Hsieh, Cho-Jui, Cai, Irene, Iqbal, Shariq, Sundermeyer, Martin, Chen, Zhe, Bursztein, Elie, Malaviya, Chaitanya, Biadsy, Fadi, Shroff, Prakash, Dhillon, Inderjit, Latkar, Tejasi, Dyer, Chris, Forbes, Hannah, Nicosia, Massimo, Nikolaev, Vitaly, Greene, Somer, Georgiev, Marin, Wang, Pidong, Martin, Nina, Sedghi, Hanie, Zhang, John, Banzal, Praseem, Fritz, Doug, Rao, Vikram, Wang, Xuezhi, Zhang, Jiageng, Patraucean, Viorica, Du, Dayou, Mordatch, Igor, Jurin, Ivan, Liu, Lewis, Dubey, Ayush, Mohan, Abhi, Nowakowski, Janek, Ion, Vlad-Doru, Wei, Nan, Tojo, Reiko, Raad, Maria Abi, Hudson, Drew A., Keshava, Vaishakh, Agrawal, Shubham, Ramirez, Kevin, Wu, Zhichun, Nguyen, Hoang, Liu, Ji, Sewak, Madhavi, Petrini, Bryce, Choi, DongHyun, Philips, Ivan, Wang, Ziyue, Bica, Ioana, Garg, Ankush, Wilkiewicz, Jarek, Agrawal, Priyanka, Guo, Danhao, Xue, Emily, Shaik, Naseer, Leach, Andrew, Khan, Sadh MNM, Wiesinger, Julia, Jerome, Sammy, Chakladar, Abhishek, Wang, Alek Wenjiao, Ornduff, Tina, Abu, Folake, Ghaffarkhah, Alireza, Wainwright, Marcus, Cortes, Mario, Liu, Frederick, Maynez, Joshua, Terzis, Andreas, Samangouei, Pouya, Mansour, Riham, Kępa, Tomasz, Aubet, François-Xavier, Algymr, Anton, Banica, Dan, Weisz, Agoston, Orban, Andras, Senges, Alexandre, Andrejczuk, Ewa, Geller, Mark, Santo, Niccolo Dal, Anklin, Valentin, Merey, Majd Al, Baeuml, Martin, Strohman, Trevor, Bai, Junwen, Petrov, Slav, Wu, Yonghui, Hassabis, Demis, Kavukcuoglu, Koray, Dean, Jeff, and Vinyals, Oriol
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, including multiple long documents and hours of video and audio. The family includes two new models: (1) an updated Gemini 1.5 Pro, which exceeds the February version on the great majority of capabilities and benchmarks; (2) Gemini 1.5 Flash, a more lightweight variant designed for efficiency with minimal regression in quality. Gemini 1.5 models achieve near-perfect recall on long-context retrieval tasks across modalities, improve the state-of-the-art in long-document QA, long-video QA and long-context ASR, and match or surpass Gemini 1.0 Ultra's state-of-the-art performance across a broad set of benchmarks. Studying the limits of Gemini 1.5's long-context ability, we find continued improvement in next-token prediction and near-perfect retrieval (>99%) up to at least 10M tokens, a generational leap over existing models such as Claude 3.0 (200k) and GPT-4 Turbo (128k). Finally, we highlight real-world use cases, such as Gemini 1.5 collaborating with professionals on completing their tasks achieving 26 to 75% time savings across 10 different job categories, as well as surprising new capabilities of large language models at the frontier; when given a grammar manual for Kalamang, a language with fewer than 200 speakers worldwide, the model learns to translate English to Kalamang at a similar level to a person who learned from the same content.
- Published
- 2024
48. Blurred combinatorics in resolution of singularities: (a little) beyond the characteristic polytope
- Author
-
Cobo, Helena, Soto, M. J., and Tornero, José M.
- Subjects
Mathematics - Algebraic Geometry ,Mathematics - Combinatorics ,14H20, 32S25 - Abstract
We introduce a variation of the well-known Newton-Hironaka polytope for algebroid hypersurfaces. This combinatorial object is a perturbed version of the original one, parametrized by a real number. For well-chosen values of the parameter, the objects obtained are very close to the original, while at the same time presenting more (hopefully interesting) information in a way which does not depend on the choice of parameter.
- Published
- 2024
49. Variable selection for Na\'ive Bayes classification
- Author
-
Blanquero, Rafael, Carrizosa, Emilio, Ramírez-Cobo, Pepa, and Sillero-Denamiel, M. Remedios
- Subjects
Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
The Na\"ive Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, features are usually correlated, a fact that violates the Na\"ive Bayes' assumption of conditional independence, and may deteriorate the method's performance. Moreover, datasets are often characterized by a large number of features, which may complicate the interpretation of the results as well as slow down the method's execution. In this paper we propose a sparse version of the Na\"ive Bayes classifier that is characterized by three properties. First, the sparsity is achieved taking into account the correlation structure of the covariates. Second, different performance measures can be used to guide the selection of features. Third, performance constraints on groups of higher interest can be included. Our proposal leads to a smart search, which yields competitive running times, whereas the flexibility in terms of performance measure for classification is integrated. Our findings show that, when compared against well-referenced feature selection approaches, the proposed sparse Na\"ive Bayes obtains competitive results regarding accuracy, sparsity and running times for balanced datasets. In the case of datasets with unbalanced (or with different importance) classes, a better compromise between classification rates for the different classes is achieved.
- Published
- 2024
- Full Text
- View/download PDF
50. A cost-sensitive constrained Lasso
- Author
-
Blanquero, Rafael, Carrizosa, Emilio, Ramírez-Cobo, Pepa, and Sillero-Denamiel, M. Remedios
- Subjects
Statistics - Methodology ,Statistics - Machine Learning - Abstract
The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. Although the Lasso formulations are stated so that overall prediction error is optimized, no full control over the accuracy prediction on certain individuals of interest is allowed. In this work we propose a novel version of the Lasso in which quadratic performance constraints are added to Lasso-based objective functions, in such a way that threshold values are set to bound the prediction errors in the different groups of interest (not necessarily disjoint). As a result, a constrained sparse regression model is defined by a nonlinear optimization problem. This cost-sensitive constrained Lasso has a direct application in heterogeneous samples where data are collected from distinct sources, as it is standard in many biomedical contexts. Both theoretical properties and empirical studies concerning the new method are explored in this paper. In addition, two illustrations of the method on biomedical and sociological contexts are considered.
- Published
- 2024
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.