Yin, Yuan

15 publications

TMLR 2025 IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu, Andrei Bursuc, Matthieu Cord

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

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

ICLRW 2024 Learn to Adapt Parametric Solvers Under Incomplete Physics Armand Kassaï Koupaï, Yuan Yin, Patrick Gallinari

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

ECCVW 2024 ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord

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

ICLR 2023 Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, 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

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

NeurIPSW 2022 Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari

ICML 2022 Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer, Yuan Yin, Jeremie Dona, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari

ICLRW 2022 Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari

ICLR 2021 Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin, Vincent Le Guen, Jérémie Dona, Emmanuel de Bezenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari

NeurIPS 2021 LEADS: Learning Dynamical Systems That Generalize Across Environments Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari