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2 results on '"Paulo Félix Lamas"'

1. Developing a medication adherence technologies repository: proposed structure and protocol for an online real-time Delphi study

Author

Hilary Pinnock, Adriana Băban, Susanne Reventlow, Björn Wettermark, Petra Denig, Cristina Jácome, Dalma Erdősi, Marie Viprey, Bernard Vrijens, Ioanna Tsiligianni, Isabelle Arnet, Valentina Orlando, Enrica Menditto, Laetitia Huiart, Anna Bryndis Blondal, Jesper Kjærgaard, Jaime Correia de Sousa, Line Iden Berge, Anne Gerd Granås, Maria Cordina, Przemyslaw Kardas, Ioanna Chouvarda, Josip Culig, Sabina De Geest, Mitja Kos, Katerina Mala-Ladova, Fátima Roque, Maria Teresa Herdeiro, Urska Nabergoj Makovec, Catherine Goetzinger, Janette Ribaut, Pilar Barnestein-Fonseca, Frederik Haupenthal, Sean Patrick Grant, Dins Smits, Ivana Tadic, Alexandra L. Dima, Andrei Adrian Tica, Adriana E. Chis, Alexandru Corlăteanu, Ane Erdal, Anthony Karageorgos, Bettina S. Husebø, Christos Petrou, Çiğdem Gamze Özkan, Cristina Mihaela Ghiciuc, Daisy Volmer, Darinka Gjorgieva Ackova, Dragana Drakul, Dusanka Krajnovic, Elena Kkolou, Elín Ingibjorg Jacobsen, Emma Aarnio, Enkeleda Sinaj, Eric Van Ganse, Esra Uslu, Fatjona Kamberi, Fedor Lehocki, Francisca Leiva-Fernandez, Freyja Jónsdóttir, Fruzsina Mezei, Gaye Hafez, Gregor Bond, Guenka Petrova, Hendrik Knoche, Horacio Gonzalez-Velez, Indrė Trečiokienė, Ines Potočnjak, Ingibjörg Gunnþórsdóttir, Isabel Leiva Gea, Ivett Jakab, Jaime Espin Balbino, Janja Jazbar, Jiří Vlček, Joao Gregorio, Job van Boven, Jolanta Gulbinovic, Jovan Mihajlović, Juris Barzdins, Karin Svensberg, Katarina Smilkov, Katharina Blankart, Konstantin Doberer, Konstantin Tachkov, Kristiina Sepp, Liset van Dijk, Maja Ortner Hadžiabdić, Manon Belhassen, Marcia Vervloet, Marie Ekenberg, Marie Hidle Gedde, Marie McCarthy, Marie Schneider, Marina Odalovic, Martin Wawruch, Martina Bago, Miriam Qvarnström, Mitar Popovic, Natasa Duborija-Kovacevic, Noemi Bitterman, Omar S. Usmani, Ott Laius, Panagiotis Petrou, Paulo Félix Lamas, Paulo Moreira, Quitterie Reynaud, Seher Çakmak, Stefan Bruno Velescu, Tamás Ágh, Valentina Marinkovic, Vered Shay, Vesna Vujic-Aleksic, Vildan Mevsim, Yasemin Cayir, Yingqi Gu, and Zorana Kovacevic

Subjects
Medicine
Published
2022
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2. Stochastic embeddings of dynamical phenomena through variational autoencoders

Author

Jesús María Rodríguez Presedo, Constantino Antonio García Martínez, Paulo Félix Lamas, and Abraham Otero

Subjects
FOS: Computer and information sciences, Computational Mathematics, Numerical Analysis, Computer Science - Machine Learning, Physics and Astronomy (miscellaneous), Applied Mathematics, Modeling and Simulation, FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics, Machine Learning (cs.LG), Computer Science Applications
Abstract

System identification in scenarios where the observed number of variables is less than the degrees of freedom in the dynamics is an important challenge. In this work we tackle this problem by using a recognition network to increase the observed space dimensionality during the reconstruction of the phase space. The phase space is forced to have approximately Markovian dynamics described by a Stochastic Differential Equation (SDE), which is also to be discovered. To enable robust learning from stochastic data we use the Bayesian paradigm and place priors on the drift and diffusion terms. To handle the complexity of learning the posteriors, a set of mean field variational approximations to the true posteriors are introduced, enabling efficient statistical inference. Finally, a decoder network is used to obtain plausible reconstructions of the experimental data. The main advantage of this approach is that the resulting model is interpretable within the paradigm of statistical physics. Our validation shows that this approach not only recovers a state space that resembles the original one, but it is also able to synthetize new time series capturing the main properties of the experimental data.

Published
2020

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