Publications

Achraf Azize, Mathieu Molina, Hugo Richard, Vianney Perchet. Prophet Inequalities under Local Differential Privacy. ACM Conference on Economics and Computation (EC), 2026. pdf

Corentin Pla, Hugo Richard, Marc Abeille, Vianney Perchet. Minimax PAC Bounds for Learning in Exogenous Contextual MDPs. arXiv preprint arXiv:2606.25170, 2026. pdf

Corentin Pla, Hugo Richard, Marc Abeille, Nadav Merlis, Vianney Perchet. On the Hardness of Reinforcement Learning with Transition Look-Ahead. International Conference on Artificial Intelligence and Statistics (AISTATS), 2026. pdf

Dorian Baudry, Hugo Richard, Maria Cherifa, Clément Calauzènes, Vianney Perchet. Optimizing the coalition gain in online auctions with greedy structured bandits. Advances in Neural Information Processing Systems 37, 19591-19635, 2024. pdf

Hugo Richard, Etienne Boursier, Vianney Perchet. Constant or logarithmic regret in asynchronous multiplayer bandits with limited communication. International Conference on Artificial Intelligence and Statistics, 388-396, 2024. pdf

Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina, Hugo Richard, Vianney Perchet. Multi-armed bandits with guaranteed revenue per arm. International Conference on Artificial Intelligence and Statistics, 379-387, 2024. pdf

Marius Potfer, Dorian Baudry, Hugo Richard, Vianney Perchet, Cheng Wan. Improved learning rates in multi-unit uniform price auctions. Advances in Neural Information Processing Systems 37, 130237-130264, 2024. pdf

Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet. On preemption and learning in stochastic scheduling. International Conference on Machine Learning, 24478-24516, 2023. pdf code

Achraf Azize, Mathieu Molina, Hugo Richard, Vianney Perchet. Prophet Inequalities under Local Differential Privacy. ACM Conference on Economics and Computation (EC), 2026. pdf

Corentin Pla, Maxime Vono, Hugo Richard. Distribution-Aware Mean Estimation under User-level Local Differential Privacy. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:2089-2097, 2025. pdf

Matilde Tullii, Solenne Gaucher, Hugo Richard, Eustache Diemert, Vianney Perchet, Alain Rakotomamonjy, Clément Calauzènes, Maxime Vono. Open Research Challenges for Private Advertising Systems under Local Differential Privacy. Web Information Systems Engineering - WISE 2024, LNCS 15440, 107-122, 2024. pdf

Ana Luísa Pinho, Hugo Richard, Ana Fernanda Ponce, Michael Eickenberg, Alexis Amadon, Elvis Dohmatob, Isabelle Denghien, Juan Jesús Torre, Swetha Shankar, Himanshu Aggarwal, Alexis Thual, Thomas Chapalain, Chantal Ginisty, Séverine Becuwe-Desmidt, Séverine Roger, Yann Lecomte, Valérie Berland, Laurence Laurier, Véronique Joly-Testault, Gaëlle Médiouni-Cloarec, Christine Doublé, Bernadette Martins, Gaël Varoquaux, Stanislas Dehaene, Lucie Hertz-Pannier, Bertrand Thirion. Individual Brain Charting dataset extension, third release for movie watching and retinotopy data. Scientific Data 11 (1), 590, 2024. pdf

Hugo Richard, Bertrand Thirion. Fastsrm: A fast, memory efficient and identifiable implementation of the shared response model. Aperture Neuro, 2023. pdf

Manoj Kumar, Michael J Anderson, James W Antony, Christopher Baldassano, Paula P Brooks, Ming Bo Cai, Po-Hsuan Cameron Chen, Cameron T Ellis, Gregory Henselman-Petrusek, David Huberdeau, J Benjamin Hutchinson, Y Peeta Li, Qihong Lu, Jeremy R Manning, Anne C Mennen, Samuel A Nastase, Hugo Richard, Anna C Schapiro, Nicolas W Schuck, Michael Shvartsman, Narayanan Sundaram, Daniel Suo, Javier S Turek, David Turner, Vy A Vo, Grant Wallace, Yida Wang, Jamal A Williams, Hejia Zhang, Xia Zhu, Mihai Capotă, Jonathan D Cohen, Uri Hasson, Kai Li, Peter J Ramadge, Nicholas B Turk-Browne, Theodore L Willke, Kenneth A Norman. BrainIAK: the brain imaging analysis kit. Aperture neuro 1 (4), 10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da, 2022. pdf code

Hugo Richard, Pierre Ablin, Aapo Hyvärinen, Alexandre Gramfort, Bertrand Thirion. Adaptive Multi-View ICA: Estimation of noise levels for optimal inference. arXiv preprint arXiv:2102.10964, 2021. pdf

Hugo Richard. Unsupervised component analysis for neuroimaging data. Université Paris-Saclay, 2021. pdf

Badr Tajini, Hugo Richard, Bertrand Thirion. Functional magnetic resonance imaging data augmentation through conditional ICA. Medical Image Computing and Computer Assisted Intervention - MICCAI 2021, LNCS 12902, 491-500, 2021. pdf

Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvarinen. Shared independent component analysis for multi-subject neuroimaging. Advances in neural information processing systems 34, 29962-29971, 2021. pdf code

Elvis Dohmatob, Hugo Richard, Ana Luísa Pinho, Bertrand Thirion. Brain topography beyond parcellations: local gradients of functional maps. NeuroImage 229, 117706, 2021. pdf

Ronan Perry, Gavin Mischler, Richard Guo, Theodore Lee, Alexander Chang, Arman Koul, Cameron Franz, Hugo Richard, Iain Carmichael, Pierre Ablin, Alexandre Gramfort, Joshua T Vogelstein. mvlearn: Multiview machine learning in python. Journal of Machine Learning Research 22 (109), 1-7, 2021. pdf code

Thomas Bazeille, Elizabeth DuPre, Hugo Richard, Jean-Baptiste Poline, Bertrand Thirion. An empirical evaluation of functional alignment using inter-subject decoding. NeuroImage 245, 118683, 2021. pdf code

Hugo Richard, Luigi Gresele, Aapo Hyvarinen, Bertrand Thirion, Alexandre Gramfort, Pierre Ablin. Modeling shared responses in neuroimaging studies through multiview ica. Advances in Neural Information Processing Systems 33, 19149-19162, 2020. pdf code

Hugo Richard, Lucas Martin, Ana Luısa Pinho, Jonathan Pillow, Bertrand Thirion. Fast shared response model for fMRI data. Organization for Human Brain Mapping (OHBM), 2018. pdf

Thomas Bazeille, Hugo Richard, Hicham Janati, Bertrand Thirion. Local optimal transport for functional brain template estimation. International conference on information processing in medical imaging, 237-248, 2019. pdf

Hugo Richard, Ana Pinho, Bertrand Thirion, Guillaume Charpiat. Optimizing deep video representation to match brain activity. Conference on Cognitive Computational Neuroscience (CCN), 2018. pdf