Romain Egele, Felix Mohr, Tom Viering, Prasanna Balaprakash. The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization. 2024. ⟨hal-04537565⟩
Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset. Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification. LREC-COLING 2024, May 2024, TURIN, Italy. ⟨hal-04519930v2⟩
Rahul Sundar, Didier Lucor, Sunetra Sarkar. Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients. 10th International and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP), Dec 2023, Jodhpur, France. ⟨hal-04463178⟩
Jill-Jênn Vie, Éric Bruillard, Fabrice Popineau, Yolaine Bourda. Simulation et validation de tests adaptatifs dans les MOOC. STICEF (Sciences et Technologies de l'Information et de la Communication pour l'Éducation et la Formation), 2018, 24 (2), ⟨10.23709/sticef.24.2.6⟩. ⟨hal-01764417⟩
Rahul Sundar, Dipanjan Majumdar, Didier Lucor, Sunetra Sarkar. Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil. 2024. ⟨hal-04416624⟩
Lionel Mathelin, Srikanth Derebail Muralidhar, Bérengère Podvin. Data-driven estimation of a turbulent flow from wall sensors. US-Japan Workshop on bridging Fluid Mechanics and Data Science, Mar 2018, Tokyo (Japan), Japan. ⟨hal-04406584⟩
Thibault Monsel, Lionel Mathelin, Onofrio Semeraro, Guillaume Charpiat. End-to-end learning of dynamical systems with the Mori-Zwanzig formalism. CSE 2023 - SIAM Computational Science and Engineering, Feb 2023, Amsterdam, Netherlands. ⟨hal-04406551⟩