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Louis Serrano
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2020 – today
- 2024
- [j1]Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue:
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Trans. Mach. Learn. Res. 2024 (2024) - [i7]Louis Serrano, Thomas X. Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari:
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. CoRR abs/2406.02176 (2024) - [i6]Adel Nabli, Louis Fournier, Pierre Erbacher, Louis Serrano, Eugene Belilovsky, Edouard Oyallon:
ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training. CoRR abs/2406.02613 (2024) - [i5]Louis Serrano, Armand Kassaï Koupaï, Thomas X. Wang, Pierre Erbacher, Patrick Gallinari:
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs. CoRR abs/2410.03437 (2024) - [i4]Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin, Patrick Gallinari:
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods. CoRR abs/2410.06820 (2024) - 2023
- [c1]Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari:
Operator Learning with Neural Fields: Tackling PDEs on General Geometries. NeurIPS 2023 - [i3]Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue:
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. CoRR abs/2306.05880 (2023) - [i2]Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X. Wang, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari:
Operator Learning with Neural Fields: Tackling PDEs on General Geometries. CoRR abs/2306.07266 (2023) - [i1]Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. CoRR abs/2307.13538 (2023)
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