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Arnaud Gohier
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2020 – today
- 2024
- [j4]Wouter Heyndrickx
, Lewis H. Mervin
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64(7): 2331-2344 (2024) - 2023
- [c1]Martijn Oldenhof
Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI 2023: 15576-15584 - 2022
- [j3]Quentin Perron, Olivier Mirguet, Hamza Tajmouati, Adam Skiredj, Anne Rojas, Arnaud Gohier, Pierre Ducrot, Marie-Pierre Bourguignon, Patricia Sansilvestri-Morel, Nicolas Do Huu, Françoise Gellibert, Yann Gaston-Mathé
Deep generative models for ligand-based de novo design applied to multi-parametric optimization. J. Comput. Chem. 43(10): 692-703 (2022) - [i1]Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway
Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR abs/2210.08871 (2022) - 2021
- [j2]Bryan Dafniet, Natacha Cerisier
Development of a chemogenomics library for phenotypic screening. J. Cheminformatics 13(1): 91 (2021) - 2020
- [j1]Patrick Penner
Shape-Based Descriptors for Efficient Structure-Based Fragment Growing. J. Chem. Inf. Model. 60(12): 6269-6281 (2020)
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last updated on 2024-10-07 21:25 CEST by the dblp team
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