Pré-publication, Document de travail
Apprentissage
Affichage des résultats 1 à 12 sur 92 au total
Apprentissage : 1 à 12 sur 92 au total
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Communication dans un congrès
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⟩
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Communication dans un congrès
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⟩
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Thèse
Luis Palacios Medinacelli. Knowledge Discovery for Avionics Maintenance : An Unsupervised Concept Learning Approach. Artificial Intelligence [cs.AI]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLS130⟩. ⟨tel-02285443⟩
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Ouvrages
Robert Bob Cordeau, Laurent Pointal. Python 3 : Apprendre à programmer dans l'écosystème Python. Dunod, 2020, 9782100809141. ⟨hal-04464977⟩
Année de publication
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Thèse
Téo Sanchez. Interactive Machine Teaching with and for Novices. Human-Computer Interaction [cs.HC]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG055⟩. ⟨tel-03807887v2⟩
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Thèse
Maroua Bahri. Improving IoT data stream analytics using summarization techniques. Machine Learning [cs.LG]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAT017⟩. ⟨tel-02865982⟩
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Article dans une revue
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⟩
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Pré-publication, Document de travail
Jiayi Cai, Pierre-Emmanuel Angeli, Jean-Marc Martinez, Guillaume Damblin, Didier Lucor. Reynolds Stress Anisotropy Tensor Predictions for Turbulent Channel Flow using Neural Networks. 2024. ⟨hal-04416616⟩
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Pré-publication, Document de travail
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⟩
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Communication dans un congrès
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⟩
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Communication dans un congrès
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⟩