Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. - Léon Migus; Yuan Yin; Jocelyn Ahmed Mazari; Patrick Gallinari (TAG-ML, 2022)

Stability of implicit neural networks for long-term forecasting in dynamical systems. - Léon Migus; Julien Salomon; Patrick Gallinari (CoRR, 2023)

INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. - Louis Serrano; Léon Migus; Yuan Yin; Jocelyn Ahmed Mazari; Patrick Gallinari (CoRR, 2023)

Deep neural networks and partial differential equations. (Réseaux de neurones profonds et équations aux dérivées partielles). - Léon Migus (2023)

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. - Etienne Le Naour; Louis Serrano; Léon Migus; Yuan Yin; Ghislain Agoua; Nicolas Baskiotis; Patrick Gallinari; Vincent Guigue (Trans. Mach. Learn. Res., 2024)