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Références bibliographiques
115
Dépôts avec texte intégral
404
Twitter @LisnLab
LAst publications
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Nicolas Atienza, Christophe Labreuche, Johanne Cohen, Michèle Sebag. Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach. ICLR 2025 - The Thirteenth International Conference on Learning Representations, Apr 2025, Singapore (SG), Singapore. ⟨hal-04922382⟩
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Francesco Pezzicoli. Statistical Physics - Machine Learning Interplay : from Addressing Class Imbalance with Replica Theory to Predicting Dynamical Heterogeneities with SE(3)-equivariant Graph Neural Networks. Machine Learning [cs.LG]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG115⟩. ⟨tel-04910839⟩
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Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jean-Patrick Brunet, Maroua Gmati, et al.. NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. NeurIPS 2024 - The 38th Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. ⟨hal-04869170⟩
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Sébastien Velut, Sylvain Chevallier, Marie-Constance Corsi, Frédéric Dehais. Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface. ESANN 2024 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2024, Bruges, Belgium. pp.571-576, ⟨10.14428/esann/2024.ES2024-112⟩. ⟨hal-04720928⟩
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Eva Boguslawski, Alessandro Leite, Benjamin Donnot, Matthieu Dussartre, Marc Schoenauer. Emulation of Zonal Controllers for the Power System Transport Problem. ML4SPS 2024 - Machine Learning for Sustainable Power Systems ECML 2024 Workshop, European Conference of Machine Learning, Sep 2024, Vilnius, Lithuania. ⟨hal-04924271⟩
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