Deep CosmoStat Days

Session

IA

13 févr. 2026, 10:00

Cassini (CEA/DAp)

13. Learning Domain-Invariant Representations via Optimal Transport and Spectral Embeddings

Dr Fred Ngole (CEA/DRT)

13/02/2026 10:00

In many learning problems, labeled data are available only in a source domain, while the target domain remains unlabeled and distributionally different. This talk introduces a principled approach to unsupervised domain adaptation based on optimal transport. By interpreting transport plans between source and target distributions as weighted graphs and embedding them spectrally, the method...

9. Inferring Physical Properties of High-z Galaxies from IFU Spectral Data cubes: Signal Enhancement and Data-Driven Mapping Beyond Power-Law Relations

Arnab Lahiry (FORTH)

13/02/2026 10:30

Studies of galaxy evolution at z≳3 are limited by low signal-to-noise ratios and the difficulty of extracting faint, spatially resolved signals. I briefly summarise my first PhD project on denoising and signal restoration of high-redshift IFU datacubes, including the development of a dedicated software framework for generating and analysing controlled toy-model simulations. Wavelet-based...

10. Uncertainty Quantification for Generative Models in Astrophysics

Sammy Sharief (CEA)

13/02/2026 10:50

As astronomy enters a new era of big data, machine learning, and novel generative models enable inference in high-dimensional spaces and help tackle previously intractable problems. In this context, defining and measuring the accuracy of inferred posteriors, especially in high-dimensional parameter spaces such as images, has become increasingly pressing. Specifically, two questions need to be...