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Yuan Yin
- Doctorant, Chargé de Mission d'Enseignement
- Équipe: MLIA
- Bureau: 26-00/534
- Addresse: 4 place Jussieu, 75252 PARIS CEDEX 05
- Site web: https://twitter.com/yuanyinnn
Publications
- 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, May 2023, Kigali, Rwanda. . ⟨hal-04081163⟩
- 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⟩
- 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⟩
