Communication dans un congrès
AO
Showing results 1 to 12 of 504 in total
AO : 1 to 12 of 504 in total
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Communication dans un congrès
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis Engemann. Geodesic optimization for predictive shift adaptation on EEG data. NeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. ⟨hal-04902523⟩
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Communication dans un congrès
Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane. Cascade of phase transitions in the training of Energy-based models. NeurIPS 2024 - 38th Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. ⟨hal-04897693⟩
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Article dans une revue
Aurélien Decelle, Cyril Furtlehner, Alfonso de Jesús Navas Gómez, Beatriz Seoane. Inferring effective couplings with Restricted Boltzmann Machines. SciPost Physics, 2024, Scipost Physics, 16 (4), pp.095. ⟨10.21468/SciPostPhys.16.4.095⟩. ⟨hal-04885720⟩
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Pré-publication, Document de travail
Nilo Schwencke, Cyril Furtlehner. ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning. 2024. ⟨hal-04849532⟩
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Communication dans un congrès
Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane. Cascade of phase transitions in the training of Energy-based models. NeurIPS2024, Dec 2024, Vancouver, United States. ⟨10.48550/arXiv.2405.14689⟩. ⟨hal-04844953⟩
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Article dans une revue
Yvenn Amara-Ouali, Yannig Goude, Nathan Doumèche, Pascal Veyret, Alexis Thomas, et al.. Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge. Journal of Data-centric Machine Learning Research, 2024, 1. ⟨hal-04119408⟩
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Communication dans un congrès
Dylan Sechet, Francesca Bugiotti, Matthieu Kowalski, Edouard D’hérouville, Filip Langiewicz. A Hierarchical Deep Learning Approach for Minority Instrument Detection. DAFx 2024 - the 27th International Conference on Digital Audio Effects, Sep 2024, Guildford Surrey, United Kingdom. ⟨hal-04793160⟩
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Communication dans un congrès
Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat. Time and State Dependent Neural Delay Differential Equations. ML-DE@ECAI 2024 : Machine Learning Meets Differential Equations: From Theory to Applications, Sep 2024, Santiago de compostela, Galicia, Spain. ⟨hal-04794450⟩
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Pré-publication, Document de travail
Dilek Koptekin, Ayça Aydoğan, Cansu Karamurat, N. Ezgi Altınışık, Kıvılcım Başak Vural, et al.. Out-of-Anatolia: cultural and genetic interactions during the Neolithic expansion in the Aegean. 2024. ⟨hal-04801125⟩
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Pré-publication, Document de travail
Antoine Szatkownik, Léo Planche, Maïwen Demeulle, Titouan Chambe, María Ávila-Arcos, et al.. Diffusion-based artificial genomes and their usefulness for local ancestry inference. 2024. ⟨hal-04801121⟩
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Pré-publication, Document de travail
Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay. Latent generative modeling of long genetic sequences with GANs. 2024. ⟨hal-04801130⟩