Louis Serrano

17 papers A* 4Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Test-time Generalization for Physics through Neural Operator Splitting.
CoRR
Louis Serrano, Jiequn Han, Edouard Oyallon, Shirley Ho, Rudy Morel
2025 J jnl
AB-UPT for Automotive and Aerospace Applications.
CoRR
Benedikt Alkin, Richard Kurle, Louis Serrano, Dennis Just, Johannes Brandstetter
2025 J jnl
ENMA: Tokenwise Autoregression for Generative Neural PDE Operators.
CoRR
Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano, Patrick Gallinari
2025 J jnl
JAFAR: Jack up Any Feature at Any Resolution.
CoRR
Paul Couairon, Loïck Chambon, Louis Serrano, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
2025 A* conf
Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods.
ICLR
Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari
2025 — —
Operator learning for modeling spatiotemporal dynamics from PDEs. (Apprentissage d'opérateur pour la modélisation de dynamiques spatiotemporelles issues d'EDPs).
Louis Serrano
2025 A* conf
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs.
ICML
Louis Serrano, Armand Kassaï Koupaï, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari
2024 J jnl
ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training.
CoRR
Adel Nabli, Louis Fournier, Pierre Erbacher, Louis Serrano, Eugene Belilovsky, Edouard Oyallon
2024 A* conf
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields.
NeurIPS
Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari
2024 J jnl
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields.
CoRR
Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari
2024 J jnl
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods.
CoRR
Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari
2024 J jnl
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations.
Trans. Mach. Learn. Res.
Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue
2024 J jnl
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs.
CoRR
Louis Serrano, Armand Kassaï Koupaï, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari
2023 J jnl
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations.
CoRR
Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
2023 A* conf
Operator Learning with Neural Fields: Tackling PDEs on General Geometries.
NeurIPS
Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
2023 J jnl
Operator Learning with Neural Fields: Tackling PDEs on General Geometries.
CoRR
Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
2023 J jnl
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations.
CoRR
Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue