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Lukas Friedrich
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2020 – today
- 2024
- [j5]Andrew Rusinko III, Mohammad A. Rezaei
, Lukas Friedrich, Hans-Peter Buchstaller
AIDDISON: Empowering Drug Discovery with AI/ML and CADD Tools in a Secure, Web-Based SaaS Platform. J. Chem. Inf. Model. 64(1): 3-8 (2024) - [j4]Wouter Heyndrickx
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
- [j3]Davide Boldini, Francesca Grisoni, Daniel Kuhn, Lukas Friedrich, Stephan A. Sieber:
Practical guidelines for the use of gradient boosting for molecular property prediction. J. Cheminformatics 15(1): 73 (2023) - [c2]Martijn Oldenhof
Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI 2023: 15576-15584 - [c1]Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer:
Context-enriched molecule representations improve few-shot drug discovery. ICLR 2023 - [i2]Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer:
Context-enriched molecule representations improve few-shot drug discovery. CoRR abs/2305.09481 (2023) - 2022
- [j2]Davide Boldini, Lukas Friedrich, Daniel Kuhn, Stephan A. Sieber:
Tuning gradient boosting for imbalanced bioassay modelling with custom loss functions. J. Cheminformatics 14(1): 80 (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) - 2020
- [j1]Michael Moret
Generative molecular design in low data regimes. Nat. Mach. Intell. 2(3): 171-180 (2020)
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last updated on 2024-10-07 21:25 CEST by the dblp team
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