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Yuan Yin
- Postdoctoral Researcher
- Team: MLIA
- Office: Pyramide H20
- Addresse: 4 place Jussieu, 75252 PARIS CEDEX 05
- Website: https://twitter.com/yuanyinnn
Publications
- Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari. GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning. Thirty-eight Conference on Neural Information Processing Systems (NeurIPS 2024), Dec 2024, Vancouver, Canada. ⟨hal-04764272⟩
- Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, et al.. Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. Transactions on Machine Learning Research Journal, 2024, ⟨10.48550/arXiv.2306.05880⟩. ⟨hal-04759780⟩
- Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Yuan Yin, Patrick Gallinari. Learning iterative algorithms to solve PDEs. ICLR 2024 Workshop on AI4DifferentialEquations In Science, ICLR 2024 Workshop, May 2024, Vienne (Austria), France. https://ai4diffeqtnsinsci.github.io. ⟨hal-04821571⟩
- Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X Wang, Yuan Yin, et al.. Operator Learning with Neural Fields: Tackling PDEs on General Geometries. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans (Louisiana), United States. pp.70581-70611. ⟨hal-04702535⟩
- Louis Serrano, Leon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari. INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. Workshop on Synergy of Scientific and Machine Learning Modeling (ICML 2023), Jul 2023, Honolulu, HI, United States. ⟨hal-04171439⟩
- Yuan Yin. Physics-Aware Deep Learning and Dynamical Systems : Hybrid Modeling and Generalization. Machine Learning [cs.LG]. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS161⟩. ⟨tel-04164673⟩
- Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari. Continuous PDE Dynamics Forecasting with Implicit Neural Representations. The Eleventh International Conference on Learning Representations, International Conference on Representation Learning, May 2023, Kigali, Rwanda. ⟨hal-03792179v2⟩
- Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari. Continuous PDE Dynamics Forecasting with Implicit Neural Representations. The Eleventh International Conference on Learning Representations, May 2023, Kigali, Rwanda. . ⟨hal-04081163⟩
- Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, et al.. Generalizing to New Physical Systems via Context-Informed Dynamics Model. International Conference on Machine Learning, Jul 2022, Baltimore, France. ⟨hal-03547546v2⟩
- Leon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari. Multi-scale physical representations for approximating pde solutions with graph neural operators. ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Apr 2022, En ligne, France. ⟨hal-03709247⟩