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1. Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours

2. The constraining power of the Marked Power Spectrum: an analytical study

3. Boosting HI-Galaxy Cross-Clustering Signal through Higher-Order Cross-Correlations

4. Quantifying Baryonic Feedback on Warm-Hot Circumgalactic Medium in CAMELS Simulations

5. Cosmological and Astrophysical Parameter Inference from Stacked Galaxy Cluster Profiles Using CAMELS-zoomGZ

6. Constraining Cosmology with Simulation-based inference and Optical Galaxy Cluster Abundance

7. CHARM: Creating Halos with Auto-Regressive Multi-stage networks

8. How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds

9. Field-level Emulation of Cosmic Structure Formation with Cosmology and Redshift Dependence

10. Towards unveiling the large-scale nature of gravity with the wavelet scattering transform

11. Cosmological simulations of scale-dependent primordial non-Gaussianity

12. The Impact of Non-Gaussian Primordial Tails on Cosmological Observables

13. Cosmology from point clouds

14. Denoising Diffusion Delensing Delight: Reconstructing the Non-Gaussian CMB Lensing Potential with Diffusion Models

15. Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations

16. Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter fields from galaxies with CAMELS

17. Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos

18. Probing the Circum-Galactic Medium with Fast Radio Bursts: Insights from the CAMELS Simulations

19. Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity

20. Cosmological multifield emulator

21. Can we constrain warm dark matter masses with individual galaxies?

22. A field-level emulator for modeling baryonic effects across hydrodynamic simulations

23. Taming assembly bias for primordial non-Gaussianity

24. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

25. Atomic Hydrogen Shows its True Colours: Correlations between HI and Galaxy Colour in Simulations

26. Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects

27. Cosmology with Galaxy Photometry Alone

28. Cosmology with multiple galaxies

29. An Observationally Driven Multifield Approach for Probing the Circum-Galactic Medium with Convolutional Neural Networks

30. Predicting Interloper Fraction with Graph Neural Networks

31. Emulating Radiative Transfer with Artificial Neural Networks

32. Cosmological baryon spread and impact on matter clustering in CAMELS

33. A Hierarchy of Normalizing Flows for Modelling the Galaxy-Halo Relationship

34. Signatures of a Parity-Violating Universe

35. Quijote-PNG: The Information Content of the Halo Mass Function

36. Inferring Warm Dark Matter Masses with Deep Learning

37. Cosmology with one galaxy? -- The ASTRID model and robustness

38. The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites

39. Invertible mapping between fields in CAMELS

40. A universal equation to predict $\Omega_{\rm m}$ from halo and galaxy catalogues

41. Robust Field-level Likelihood-free Inference with Galaxies

42. Predicting the impact of feedback on matter clustering with machine learning in CAMELS

43. Inferring the impact of feedback on the matter distribution using the Sunyaev Zel'dovich effect: Insights from CAMELS simulations and ACT+DES data

44. Machine-learning cosmology from void properties

45. Calibrating cosmological simulations with implicit likelihood inference using galaxy growth observables

46. Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear halo density field

47. Emulating cosmological multifields with generative adversarial networks

48. Robust field-level inference with dark matter halos

49. The SZ flux-mass ($Y$-$M$) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback

50. Quijote PNG: The information content of the halo power spectrum and bispectrum

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