| BrainIAK: the brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ... Aperture neuro 1 (4), 10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da, 2022 | 49 | 2022 |
| mvlearn: Multiview machine learning in python R Perry, G Mischler, R Guo, T Lee, A Chang, A Koul, C Franz, H Richard, ... Journal of Machine Learning Research 22 (109), 1-7, 2021 | 30 | 2021 |
| Modeling shared responses in neuroimaging studies through multiview ica H Richard, L Gresele, A Hyvarinen, B Thirion, A Gramfort, P Ablin Advances in Neural Information Processing Systems 33, 19149-19162, 2020 | 29 | 2020 |
| An empirical evaluation of functional alignment using inter-subject decoding T Bazeille, E Dupre, H Richard, JB Poline, B Thirion NeuroImage 245, 118683, 2021 | 28 | 2021 |
| Brain topography beyond parcellations: local gradients of functional maps E Dohmatob, H Richard, AL Pinho, B Thirion NeuroImage 229, 117706, 2021 | 25 | 2021 |
| Local optimal transport for functional brain template estimation T Bazeille, H Richard, H Janati, B Thirion Information Processing in Medical Imaging: 26th International Conference …, 2019 | 20 | 2019 |
| Shared independent component analysis for multi-subject neuroimaging H Richard, P Ablin, B Thirion, A Gramfort, A Hyvarinen Advances in neural information processing systems 34, 29962-29971, 2021 | 13 | 2021 |
| Fast shared response model for fMRI data H Richard, L Martin, AL Pinho, J Pillow, B Thirion arXiv preprint arXiv:1909.12537, 2019 | 9 | 2019 |
| Brain topography beyond parcellations: Local gradients of functional maps. NeuroImage, 229, Article 117706 E Dohmatob, H Richard, AL Pinho, B Thirion | 7 | 2020 |
| Optimizing deep video representation to match brain activity H Richard, A Pinho, B Thirion, G Charpiat arXiv preprint arXiv:1809.02440, 2018 | 6 | 2018 |
| FastSRM: A fast, memory efficient and identifiable implementation of the shared response model H Richard, B Thirion Aperture Neuro, 2023 | 3 | 2023 |
| Functional Magnetic Resonance Imaging data augmentation through conditional ICA B Tajini, H Richard, B Thirion International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 3 | 2021 |
| Multi-armed bandits with guaranteed revenue per arm D Baudry, N Merlis, MB Molina, H Richard, V Perchet International Conference on Artificial Intelligence and Statistics, 379-387, 2024 | 2 | 2024 |
| On preemption and learning in stochastic scheduling N Merlis, H Richard, F Sentenac, C Odic, M Molina, V Perchet International Conference on Machine Learning, 24478-24516, 2023 | 2 | 2023 |
| Constant or logarithmic regret in asynchronous multiplayer bandits H Richard, E Boursier, V Perchet arXiv preprint arXiv:2305.19691, 2023 | 1 | 2023 |
| Adaptive Multi-View ICA: Estimation of noise levels for optimal inference H Richard, P Ablin, A Hyvärinen, A Gramfort, B Thirion arXiv preprint arXiv:2102.10964, 2021 | 1 | 2021 |
| Improved learning rates in multi-unit uniform price auctions M Potfer, D Baudry, H Richard, V Perchet, C Wan The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits D Baudry, H Richard, M Cherifa, V Perchet, C Calauzenes The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| Distribution-Aware Mean Estimation under User-level Local Differential Privacy C Pla, H Richard, M Vono arXiv preprint arXiv:2410.09506, 2024 | | 2024 |
| Individual Brain Charting dataset extension, third release for movie watching and retinotopy data AL Pinho, H Richard, AF Ponce, M Eickenberg, A Amadon, E Dohmatob, ... Scientific Data 11 (1), 590, 2024 | | 2024 |
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