114

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  Nilo Schwencke, Cyril Furtlehner. ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning. 2024. ⟨hal-04849532⟩
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  Matthieu Kowalski, Benoît Malézieux, Thomas Moreau, Audrey Repetti. Analysis and synthesis denoisers for forward-backward plug-and-play algorithms. 2024. ⟨hal-04786802v3⟩
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  Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Graph Neural Networks and Differential Equations: A hybrid approach for data assimilation of fluid flows. 2024. ⟨hal-04794444⟩
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  Benoît Malézieux, Florent Michel, Thomas Moreau, Matthieu Kowalski. Where prior learning can and can't work in unsupervised inverse problems. 2024. ⟨hal-04782335⟩
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  Pierre Barbault, Matthieu Kowalski, Charles Soussen. Bernoulli and Gauss Take a Look at the MAP. 2024. ⟨hal-04782425⟩
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  Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat, Théo Rudkiewicz. Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. Transactions on Machine Learning Research Journal, 2024. ⟨hal-04591472v2⟩
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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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  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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  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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  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-04794800⟩
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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 - the 27th International Conference on Digital Audio Effects, Sep 2024, Guildford Surrey, United Kingdom. ⟨hal-04793160⟩
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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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  Rahul Chacko, François Landes, Giulio Biroli, Olivier Dauchot, Andrea Liu, et al.. Dynamical Facilitation Governs the Equilibration Dynamics of Glasses. Physical Review X, 2024, 14 (3), pp.031012. ⟨10.1103/PhysRevX.14.031012⟩. ⟨hal-04749267⟩
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  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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  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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  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⟩