| The Dreem Headband compared to polysomnography for electroencephalographic signal acquisition and sleep staging PJ Arnal, V Thorey, E Debellemaniere, ME Ballard, A Bou Hernandez, ... Sleep 43 (11), zsaa097, 2020 | 272 | 2020 |
| AI vs Humans for the diagnosis of sleep apnea V Thorey, AB Hernandez, PJ Arnal, EH During 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 27 | 2019 |
| TorchRL: A data-driven decision-making library for PyTorch A Bou, M Bettini, S Dittert, V Kumar, S Sodhani, X Yang, G De Fabritiis, ... arXiv preprint arXiv:2306.00577, 2023 | 24 | 2023 |
| Adding seemingly uninformative labels helps in low data regimes C Matsoukas, AB Hernandez, Y Liu, K Dembrower, G Miranda, E Konuk, ... International Conference on Machine Learning, 6775-6784, 2020 | 18 | 2020 |
| Omega-lognormal analysis of oscillatory movements as a function of brain stroke risk factors AB Hernandez, A Fischer, R Plamondon 17th Biennial Conference of the International Graphonomics Society, 2015 | 7 | 2015 |
| The Dreem Headband compared to polysomnography for electroencephalographic signal acquisition and sleep staging. Sleep, 43, zsaa097 PJ Arnal, V Thorey, E Debellemaniere, ME Ballard, A Bou Hernandez, ... | 5 | 2020 |
| & Sauvet, F.(2020). The Dreem Headband compared to polysomnography for electroencephalographic signal acquisition and sleep staging PJ Arnal, V Thorey, E Debellemaniere, ME Ballard, A Bou Hernandez, ... Sleep 43 (11), 0 | 5 | |
| Integrating Distributed Architectures in Highly Modular RL Libraries A Bou, S Dittert, G De Fabritiis Sixteenth European Workshop on Reinforcement Learning (EWRL 2023), 2023 | 3* | 2023 |
| ACEGEN: Reinforcement learning of generative chemical agents for drug discovery A Bou, M Thomas, S Dittert, C Navarro, M Majewski, Y Wang, S Patel, ... Journal of Chemical Information and Modeling, 2024 | 2 | 2024 |
| Deep Learning models for semantic segmentation of mammography screenings A Bou | 2 | 2019 |
| Validation du bandeau Dreem (EEG, oxymètre et accéléromètre) pour l’acquisition et la classification automatique des stades de sommeil V Thorey, AB Hernandez, M Harris, H Jourde, P Arnal Médecine du Sommeil 16 (1), 54-55, 2019 | 1 | 2019 |
| AceGen: A TorchRL-based toolkit for reinforcement learning in generative chemistry A Bou, M Thomas, S Dittert, CN Ramírez, M Majewski, Y Wang, S Patel, ... ICLR 2024 Workshop on Generative and Experimental Perspectives for …, 0 | 1 | |
| On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction N Schapin, C Navarro, A Bou, G De Fabritiis arXiv preprint arXiv:2407.19073, 2024 | | 2024 |
| Efficient Reinforcement Learning Experimentation in PyTorch A Bou, S Dittert, G De Fabritiis | | |
