Operator Learning with Neural Fields: Tackling PDEs on General Geometries. - Louis Serrano; Lise Le Boudec; Armand Kassaï Koupaï; Thomas X. Wang; Yuan Yin; Jean-Noël Vittaut; Patrick Gallinari (NeurIPS, 2023)

Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. - Armand Kassaï Koupaï; Jorge Mifsut Benet; Yuan Yin; Jean-Noël Vittaut; Patrick Gallinari (NeurIPS, 2024)

Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs. - Louis Serrano; Armand Kassaï Koupaï; Thomas X. Wang; Pierre Erbacher; Patrick Gallinari (CoRR, 2024)

GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. - Armand Kassaï Koupaï; Jorge Mifsut Benet; Yuan Yin; Jean-Noël Vittaut; Patrick Gallinari (CoRR, 2024)

ENMA: Tokenwise Autoregression for Generative Neural PDE Operators. - Armand Kassaï Koupaï; Lise Le Boudec; Louis Serrano; Patrick Gallinari (CoRR, 2025)