| A Python library for probabilistic analysis of single-cell omics data A Gayoso, R Lopez, G Xing, P Boyeau, V Valiollah Pour Amiri, J Hong, ... Nature biotechnology 40 (2), 163-166, 2022 | 471 | 2022 |
| A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements R Lopez, A Nazaret, M Langevin, J Samaran, J Regier, MI Jordan, ... ICML workshop in Computational Biology, 2019 | 120* | 2019 |
| Scaffold-constrained molecular generation M Langevin, H Minoux, M Levesque, M Bianciotto Journal of chemical information and modeling 60 (12), 5637-5646, 2020 | 70 | 2020 |
| Machine learning yield prediction from NiCOlit, a small-size literature data set of nickel catalyzed C–O couplings J Schleinitz, M Langevin, Y Smail, B Wehnert, L Grimaud, R Vuilleumier Journal of the American Chemical Society 144 (32), 14722-14730, 2022 | 57 | 2022 |
| Impact of applicability domains to generative artificial intelligence M Langevin, C Grebner, S Güssregen, S Sauer, Y Li, H Matter, ... ACS omega 8 (25), 23148-23167, 2023 | 20 | 2023 |
| Explaining and avoiding failure modes in goal-directed generation of small molecules M Langevin, R Vuilleumier, M Bianciotto Journal of Cheminformatics 14 (1), 20, 2022 | 20 | 2022 |
| A deep generative model for semi-supervised classification with noisy labels M Langevin, E Mehlman, J Regier, R Lopez, MI Jordan, N Yosef Bay Area Machine Learning Symposium, arXiv preprint arXiv:1809.05957, 2018 | 4 | 2018 |
| Balancing exploration and exploitation in de novo drug design M Langevin, M Bianciotto, R Vuilleumier Digital Discovery 3 (12), 2572-2588, 2024 | 1 | 2024 |
| Molecular Design Using Local Exploration M Langevin US Patent App. 18/274,057, 2024 | | 2024 |
| Molecular design using local exploration M Langevin WO Patent 2022162094A1, 2022 | | 2022 |
| Scaffold constrained molecular generation using memory networks M Langevin WO Patent 2022043362A1, 2022 | | 2022 |
| Generative Artificial Intelligence in the context of drug discovery M Langevin, M Bianciotto, K Mi, H Minoux, M Langevin | | |
