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Leon Migus
- Doctorant
- Équipe: MLIA
Publications
- 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⟩
- Léon Migus. Deep neural networks and partial differential equations. Numerical Analysis [math.NA]. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS356⟩. ⟨tel-04336969⟩
- 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⟩
- Léon Migus, Julien Salomon, Patrick Gallinari. Stability of implicit neural networks for long-term forecasting in dynamical systems. ICLR 2023 Workshop on Physics for Machine Learning, May 2023, Kigali, Rwanda. ⟨hal-04132587⟩
- 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⟩
