Serrano, Louis

15 publications

NeurIPS 2025 ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training Adel Nabli, Louis Fournier, Pierre Erbacher, Louis Serrano, Eugene Belilovsky, Edouard Oyallon

NeurIPS 2025 ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano, Patrick Gallinari

NeurIPS 2025 JAFAR: Jack up Any Feature at Any Resolution Paul Couairon, Loick Chambon, Louis Serrano, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome

ICLR 2025 Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods Lise Le Boudec, Emmanuel de Bezenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari

ICML 2025 Zebra: In-Context Generative Pretraining for Solving Parametric PDEs Louis Serrano, Armand Kassaı̈ Koupaı̈, Thomas X Wang, Pierre Erbacher, Patrick Gallinari

NeurIPSW 2024 ACCO: Accumulate While You Communicate, Hiding Communications in Distributed LLM Training Adel Nabli, Louis Fournier, Pierre Erbacher, Louis Serrano, Eugene Belilovsky, Edouard Oyallon

NeurIPS 2024 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields Louis Serrano, Thomas X Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari

ICMLW 2024 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields Louis Serrano, Thomas X Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari

ICLRW 2024 Latent Diffusion Transformer with Local Neural Field as PDE Surrogate Model Louis Serrano, Jean-Noël Vittaut, Patrick Gallinari

ICLRW 2024 Learning Iterative Algorithms to Solve PDEs. Lise Le Boudec, Emmanuel de Bezenac, Louis Serrano, Yuan Yin, Patrick Gallinari

TMLR 2024 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

ICLRW 2024 Zebra: A Continuous Generative Transformer for Solving Parametric PDEs Louis Serrano, Pierre Erbacher, Jean-Noël Vittaut, Patrick Gallinari

ICMLW 2023 INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Jean-Noël Vittaut, Patrick Gallinari

ICLRW 2023 Operator Learning on Free-Form Geometries Louis Serrano, Jean-Noël Vittaut, Patrick Gallinari

NeurIPS 2023 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