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  Mariia Zameshina, Mathurin Videau, Alessandro Leite, Marc Schoenauer, Laurent Najman, et al.. Agnostic latent diversity enhancement in generative modeling. 2024. ⟨hal-04661473v2⟩
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  Rahul Chacko, François P. Landes, Giulio Biroli, Olivier Dauchot, Andrea Liu, et al.. Dynamical Facilitation Governs the Equilibration Dynamics of Glasses. 2024. ⟨hal-04379217v2⟩
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  Mathurin Videau, Mariia Zameshina, Alessandro Leite, Laurent Najman, Marc Schoenauer, et al.. Evolutionary Retrofitting. 2024. ⟨hal-04733511⟩
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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, Oct 2024, Bruges (Belgium) and online, France. pp.571-576, ⟨10.14428/esann/2024.ES2024-112⟩. ⟨hal-04720928⟩
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  Thibault Monsel, Emmanuel Menier, Lionel Mathelin, Onofrio Semeraro, Guillaume Charpiat. Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems. 2024. ⟨hal-04715748⟩
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  Alice Lacan, Blaise Hanczar, Michele Sebag. Frugal Generative Modeling for Tabular Data. ECML PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.55--72, ⟨10.1007/978-3-031-70371-3_4⟩. ⟨hal-04705131⟩
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  Dylan Sechet, Francesca Bugiotti, Matthieu Kowalski, Edouard D’hérouville, Filip Langiewicz. A Hierarchical Deep Learning Approach for Minority Instrument Detection. DAFx 2024 - International Conference on Digital Audio Effects, Sep 2024, Guildford, Surrey, United Kingdom. ⟨hal-04682323⟩
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  Manh Hung Nguyen, Lisheng Sun-Hosoya, Isabelle Guyon. Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection. Pattern Recognition Letters, 2024, 185, pp.225-231. ⟨10.1016/j.patrec.2024.08.010⟩. ⟨hal-04719035⟩
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  Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger. Averaging trajectories on the manifold of symmetric positive definite matrices. EUSIPCO 2024 - 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨hal-04708878⟩
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  Isabelle Hoxha, Sylvain Chevallier, Arnaud Delorme, Michel-Ange Amorim. EEG anticipatory activity depends on sensory modality. 2024. ⟨hal-04677650⟩
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  Bruno Aristimunha, Raphael de Camargo, Walter Pinaya, Sylvain Chevallier, Alexandre Gramfort, et al.. Evaluating the structure of cognitive tasks with transfer learning. 2024. ⟨hal-04677674⟩
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  Gustavo H Rodrigues, Bruno Aristimunha, Sylvain Chevallier, Raphael Y de Camargo. Combining Euclidean Alignment and Data Augmentation for BCI decoding. EUSIPCO 2024 - 32nd European Signal Processing Conference, European Signal Processing Conference (EUSIPCO), Aug 2024, Lyon, France. ⟨10.48550/arXiv.2405.14994⟩. ⟨hal-04743791⟩
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  Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michele Sebag, Marc Schoenauer. Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. IJCAI 2024 - Thirty-Third International Joint Conference on Artificial Intelligence, Aug 2024, Jeju, South Korea. pp.8207-8215, ⟨10.24963/ijcai.2024/907⟩. ⟨hal-04706985⟩
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  Nicolas Atienza, Roman Bresson, Cyriaque Rousselot, Philippe Caillou, Johanne Cohen, et al.. Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid. IJCAI-24 - Thirty-Third International Joint Conference on Artificial Intelligence, Aug 2024, Jeju, South Korea. pp.3669-3678, ⟨10.24963/ijcai.2024/406⟩. ⟨hal-04728875⟩
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  Bruno Aristimunha, Thomas Moreau, Sylvain Chevallier, Raphael Y de Camargo, Marie-Constance Corsi. What is the best model for decoding neurophysiological signals? Depends on how you evaluate. CNS 2024 - 33rd Annual Computational Neuroscience Meeting, Jul 2024, Natal, Brazil. ⟨hal-04743845⟩
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  Paola Tubaro, Antonio A Casilli. Who bears the burden of a pandemic? COVID-19 and the transfer of risk to digital platform workers. American Behavioral Scientist, 2024, 68 (8), pp.961-982. ⟨10.1177/00027642211066027⟩. ⟨hal-03369291⟩
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  Paulo Henrique Couto, Quang Phuoc Ho, Nageeta Kumari, Benedictus Kent Rachmat, Thanh Gia Hieu Khuong, et al.. RelevAI-Reviewer: A Benchmark on AI Reviewers for Survey Paper Relevance. CAp 2024 - Conférence sur l'Apprentissage Automatique, Jul 2024, Lille, France. ⟨hal-04608255⟩
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  Romain Egele. Optimization of Learning Workflows at Large Scale on High-Performance Computing Systems. Machine Learning [cs.LG]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG025⟩. ⟨tel-04636586⟩
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  Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat. Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. 2024. ⟨hal-04591472⟩
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  Bruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, Raphael de Camargo. A systematic evaluation of Euclidean alignment with deep learning for EEG decoding. Journal of Neural Engineering, 2024, 21 (3), pp.036038. ⟨10.1088/1741-2552/ad4f18⟩. ⟨hal-04677699⟩
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  Jonathan Xu, Bruno Aristimunha, Max Emanuel Feucht, Emma Qian, Charles Liu, et al.. Alljoined1 -A dataset for EEG-to-Image decoding. Workshop Data Curation and Augmentation in Medical Imaging at 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, May 2024, Settle, United States. ⟨10.48550/arXiv.2404.05553⟩. ⟨hal-04743819⟩
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  Matthieu Nastorg. Scalable GNN Solutions for CFD Simulations. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG020⟩. ⟨tel-04590477⟩
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  Jean-Baptiste Malagnoux, Matthieu Kowalski. From Convolutional Sparse Coding To *-NMF Factorization of Time-Frequency Coefficients. ICASSP 2024 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2024, Séoul, South Korea. pp.5530-5534, ⟨10.1109/ICASSP48485.2024.10447466⟩. ⟨hal-04608586⟩
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  Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, et al.. The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark. 2024. ⟨hal-04537061⟩
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  Pierre Barbault, Matthieu Kowalski, Charles Soussen. LEMUR: Latent EM Unsupervised Regression for Sparse Inverse Problems. 2024. ⟨hal-04542061⟩
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  Matthieu Nastorg, Michele Alessandro Bucci, Thibault Faney, Jean-Marc Gratien, Guillaume Charpiat, et al.. An Implicit GNN Solver for Poisson-like problems. 2024. ⟨hal-03970501v3⟩
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  Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y de Camargo, Sylvain Chevallier, et al.. Geometric Neural Network based on Phase Space for BCI decoding. 2024. ⟨hal-04500580⟩
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  Diego Delle Donne, Matthieu Kowalski, Leo Liberti. A Novel Integer Linear Programming Approach for Global L0 Minimization. Journal of Machine Learning Research, 2024, 24 (1), Art. no. 382, p.18322-18349. ⟨10.5555/3648699.3649081⟩. ⟨hal-04372309⟩
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  Armand Lacombe. Changes of representation for counter-factual inference. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG009⟩. ⟨tel-04759706⟩
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  Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, et al.. Multi-Level GNN Preconditioner for Solving Large Scale Problems. 2024. ⟨hal-04447099⟩