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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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  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⟩
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  Wei-Wei Tu, Adrien Pavão. Special designs and competition protocols. 2024. ⟨hal-04416565⟩
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  Adrien Pavão. Hands-on tutorial on how to create your own challenge or benchmark. 2024. ⟨hal-04415747⟩
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  Edgar Jaber, Vincent Blot, Nicolas Brunel, Vincent Chabridon, Emmanuel Remy, et al.. Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees. 2024. ⟨hal-04389163⟩
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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-04379217⟩
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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, In press. ⟨hal-04372309⟩
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  Haozhe Sun. Modularity in deep learning. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPASG090⟩. ⟨tel-04418605⟩
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  Bruno Aristimunha, Raphael Yokoingawa de Camargo, Sylvain Chevallier, Adam G. Thomas, Oeslle Lucena, et al.. Synthetic Sleep EEG Signal Generation using Latent Diffusion Models. DGM4H 2023 - 1st Workshop on Deep Generative Models for Health at NeurIPS 2023, Dec 2023, New orleans, United States. ⟨hal-04350867⟩
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  Emmanuel Goutierre, Christelle Bruni, Johanne Cohen, Hayg Guler, Michèle Sebag. Physics-aware modelling of an accelerated particle cloud. MLPS 2023 - Machine Learning and the Physical Sciences Workshop 23023 - At the 37th conference on Neural Information Processing Systems (NeurIPS), Dec 2023, New Orleans, United States. ⟨hal-04396175⟩
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  Marie-Constance Corsi, Pierpaolo Sorrentino, Denis P Schwartz, Nathalie George, Leonardo L. Gollo, et al.. Measuring Neuronal Avalanches to inform Brain-Computer Interfaces. iScience, 2023, 27 (1), pp.108734. ⟨10.1016/j.isci.2023.108734⟩. ⟨hal-04345847v2⟩
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  Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Enhancing Data-Assimilation in CFD using Graph Neural Networks. 37th Conference on Neural Information Processing Systems (Neurips 2023), Dec 2023, New Orleans (LA), United States. ⟨hal-04407779⟩
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  Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Enhancing Data-Assimilation in CFD using Graph Neural Networks. 37th Conference on Neural Information Processing Systems (Neurips 2023), Dec 2023, La Nouvelle Orléans (LA), United States. ⟨hal-04319697⟩
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  Adrien Pavão. Methodology for Design and Analysis of Machine Learning Competitions. Machine Learning [cs.LG]. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPASG088⟩. ⟨tel-04401932v2⟩
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  Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay. Towards creating longer genetic sequences with GANs: Generation in principal component space. MLCB 2023 - 18th Conference on Machine Learning in Computational Biology, Nov 2023, Seattle, United States. ⟨hal-04419057⟩
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  Vincenzo Schimmenti. Temporal and spatial correlations in earthquake dynamics : physical modeling and data analysis. Statistical Mechanics [cond-mat.stat-mech]. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPASP159⟩. ⟨tel-04344778⟩
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  Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Yokoingawa De Camargo, Sylvain Chevallier, et al.. Augmented SPDNet: Second-Order Neural Network for Motor Imagery-Based BCI. Soph.IA summit 2023, Nov 2023, Sophia Antipolis, France. ⟨hal-04308549⟩
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  Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi, Marc Schoenauer, Koumoutsakos Petros. Interpretable reduced order modeling using neural autoencoders. MORTech 2023 – 6th International Workshop on Model Reduction Techniques, Nov 2023, Gif-sur Yvette, France. ⟨hal-04296372⟩
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  Burak Yelmen, Aurélien Decelle, Leila Lea Boulos, Antoine Szatkownik, Cyril Furtlehner, et al.. Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Computational Biology, 2023, 19 (10), pp.e1011584. ⟨10.1101/2023.03.07.530442⟩. ⟨hal-04244818⟩
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  Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, et al.. Learning Large Causal Structures from Inverse Covariance Matrix via Matrix Decomposition. 2023. ⟨hal-03885791⟩
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  Fernando Villanea, David Peede, Eli Kaufman, Valeria Añorve-Garibay, Kelsey Witt, et al.. The MUC19 gene in Denisovans, Neanderthals, and Modern Humans: An Evolutionary History of Recurrent Introgression and Natural Selection. 2023. ⟨hal-04244022⟩
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  Jazeps Medina Tretmanis, Flora Jay, María Ávila-Arcos, Emilia Huerta-Sanchez. Simulation-based Benchmarking of Ancient Haplotype Inference for Detecting Population Structure. 2023. ⟨hal-04244011⟩
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  Guillaume Bied, Christophe Gaillac, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, et al.. Fairness in job recommendations: estimating, explaining, and reducing gender gaps. AEQUITAS 2023 - First AEQUITAS Workshop on Fairness and Bias in AI | co-located with ECAI 2023, Oct 2023, Krakow, Poland. ⟨hal-04438512⟩
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  Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, et al.. HHD-Ethiopic A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance. 2023. ⟨hal-04223188⟩
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  Thanh Gia Hieu Khuong, Benedictus Kent Rachmat. Auto-survey Challenge: Advancing the Frontiers of Automated Literature Review. JDSE 2023 - 8th Junior Conference on Data Science and Engineering, Sep 2023, Orsay, France. ⟨hal-04206578v2⟩
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  Maria Sayu Yamamoto, Apolline Mellot, Sylvain Chevallier, Fabien Lotte. Novel SPD matrix representations considering cross-frequency coupling for EEG classification using Riemannian geometry. EUSIPCO 2023 - The 31st European Signal Processing Conference, Sep 2023, Helsinki, Finland. ⟨hal-04131609⟩
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  Pierre Barbault, Matthieu Kowalski, Charles Soussen. Marginal MAP estimation of a Bernoulli-Gaussian signal: continuous relaxation approach. EUSIPCO 2023 - the 31st European Signal Processing Conference, Sep 2023, Helsinki, Finland. pp.1833-1837. ⟨hal-04383978⟩