PDE-Driven Spatiotemporal Disentanglement. - Jérémie Donà; Jean-Yves Franceschi; Sylvain Lamprier; Patrick Gallinari (ICLR, 2021)

Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. - Yuan Yin; Vincent Le Guen; Jérémie Donà; Emmanuel de Bézenac; Ibrahim Ayed; Nicolas Thome; Patrick Gallinari (ICLR, 2021)

Differentiable Feature Selection, A Reparameterization Approach. - Jérémie Donà; Patrick Gallinari (ECML/PKDD (3), 2021)

Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. - Jérémie Donà; Marie Déchelle; Patrick Gallinari; Marina Levy (ICLR, 2022)

Generalizing to New Physical Systems via Context-Informed Dynamics Model. - Matthieu Kirchmeyer; Yuan Yin; Jérémie Donà; Nicolas Baskiotis; Alain Rakotomamonjy; Patrick Gallinari (ICML, 2022)

Statistical learning of physical dynamics. (Apprentissage statistique de dynamiques physiques). - Jérémie Donà (2022)

Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. - Raphaël Boige; Guillaume Richard; Jérémie Donà; Thomas Pierrot; Antoine Cully (GECCO, 2023)

Learning the Language of Protein Structure. - Benoit Gaujac; Jérémie Donà; Liviu Copoiu; Timothy Atkinson 003; Thomas Pierrot; Thomas D. Barrett (CoRR, 2024)