HDR
Machine Learning
Showing results 1 to 12 of 150 in total
Machine Learning : 1 to 12 of 150 in total
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Article dans une revue
Sibo Cheng, César Quilodrán-Casas, Said Ouala, Alban Farchi, Che Liu, et al.. Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. IEEE/CAA Journal of Automatica Sinica, In press, 10 (6), pp.1361-1387. ⟨10.1109/JAS.2023.123537⟩. ⟨hal-04039094⟩
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Pré-publication, Document de travail
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⟩
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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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Pré-publication, Document de travail
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. 2024. ⟨hal-04481710⟩
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Thèse
Jérémy Guez. Cultural transmission of reproductive success: Causal mechanisms, genetic consequences, and machine-learning-based inference. Populations and Evolution [q-bio.PE]. Muséum national d'histoire naturelle, 2023. English. ⟨NNT : ⟩. ⟨tel-04482448⟩
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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⟩
Year of publication
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Communication dans un congrès
Ludovic Coelho, Nicolò Fabbiane, Christian Fagiano, Cédric Julien, Didier Lucor. Gradient reliability-based design optimization of a composite plate through multi-scale design spaces. International Forum on Aeroelasticity and Structural Dynamics IFASD 2022, Jun 2022, Madrid, Spain. pp.2563-2579. ⟨hal-04463058⟩
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Communication dans un congrès
Benoît Choffin, Naonori Ueda. Scaling Bayesian Optimization up to Higher Dimensions: a Review and Comparison of Recent Algorithms. 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2018, Aalborg, Denmark. ⟨10.1109/MLSP.2018.8517011⟩. ⟨hal-02265260⟩
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Communication dans un congrès
Rahul Sundar, Dipanjan Majumdar, Didier Lucor, Sunetra Sarkar. Data-driven physics-informed and immersed boundary aware surrogate modeling of unsteady flows past moving bodies. CFC2023 Cannes, Apr 2023, Cannes, France. ⟨hal-04460055⟩