Article dans une revue
Apprentissage
Affichage des résultats 1 à 12 sur 125 au total
Apprentissage : 1 à 12 sur 125 au total
-
-
Poster de conférence
Alex Colagrande, Paul Caillon, Eva Feillet, Alexandre Allauzen. Limits of Resolution Equivariance in Fourier Neural Operators. AI&PDE: ICLR 2026 Workshop on AI and Partial Differential Equations, Apr 2026, Rio de Janeiro, Brazil. arXiv, 2026, ⟨10.48550/arXiv.2606.00677⟩. ⟨hal-05742295⟩
-
Communication dans un congrès
Lilia Izri, Benoît Groz, Silviu Maniu. Implementing Efficient Linear Bandits Via Sketches and Random Projections. BigData - 2025 IEEE International Conference on Big Data, Dec 2025, Macau, China. pp.956-965, ⟨10.1109/BigData66926.2025.11401692⟩. ⟨hal-05684798⟩
-
Communication dans un congrès
Jose Lucas de Melo Costa, Fabrice Popineau, Bich-Liên Doan, Arpad Rimmel, Fabrice Daniel. Leveraging Self-Supervised Learning for Fraud Detection in Tabular Data. 19th Financial Risks International Forum, Institut Louis Bachelier, Mar 2026, Paris, France. ⟨hal-05672093⟩
-
Pré-publication, Document de travail
Pierre Wolinski, Guillaume Charpiat, Yann Ollivier. Asymmetrical Scaling Layers for Stable Network Pruning. 2020. ⟨hal-05524815⟩
-
Thèse
Yeabsira Ashengo. Intelligent Task Offloading and Resource Allocation with Multi-access Edge Computing Servers using 5G for Tactile Internet. Mobile Computing. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG086⟩. ⟨tel-05525673⟩
-
Pré-publication, Document de travail
Lucas Ondel Yang, Tina Raissi, Martin Kocour, Pablo Riera, Caio Corro. Fast and General Automatic Differentiation for Finite-State Methods. 2026. ⟨hal-05500843⟩
-
Communication dans un congrès
Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy. An Introduction to Deep Learning. European Symposium on Artificial Neural Networks (ESANN), Apr 2011, Bruges, Belgium. ⟨hal-01352061⟩
-
Communication dans un congrès
Onofrio Semeraro, Michele Alessandro Bucci, Lionel Mathelin, Luigi Marra, Amine Saibi. From robotics to fluid dynamics: opportunities and pitfalls of Reinforcement Learning in flow control. iTi Workshop on Structure and control of wall-bounded turbulent flows, Jul 2025, Bertinoro, Italy. ⟨hal-05379587⟩
-
Article dans une revue
Amine Saibi, Lionel Mathelin, Onofrio Semeraro. A Multistep Reinforcement Learning Control of Shear Flows in Minimal Input–Output Plants Under Large Time-delays. Flow, Turbulence and Combustion, 2025, 115 (3), pp.1379-1402. ⟨10.1007/s10494-025-00697-w⟩. ⟨hal-05379450⟩
-
Article dans une revue
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Mean flow data assimilation using physics-constrained graph neural networks. Data-Centric Engineering, 2025, 6, pp.e48. ⟨10.1017/dce.2025.10022⟩. ⟨hal-05379441⟩
-
Communication dans un congrès
Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin. Learning Meets Differential Equations: From Theory to Applications Learning non-Markovian Dynamical Systems with Signature-based Encoders. ML-DE 2025 - 2nd Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", Oct 2025, Bologna, Italy. pp.1-25. ⟨hal-05379481⟩