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Peter Eckmann

2 accepted papers

2025

MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning

ICML 2025poster

Current generative models for drug discovery primarily use molecular docking as an oracle to guide the generation of active compounds. However, such models are often not useful in practice because even compounds with high docking scores do not consistently show real-world experimental activity. More…

2022

LIMO: Latent Inceptionism for Targeted Molecule Generation

ICML 2022spotlight

Generation of drug-like molecules with high binding affinity to target proteins remains a difficult and resource-intensive task in drug discovery. Existing approaches primarily employ reinforcement learning, Markov sampling, or deep generative models guided by Gaussian processes, which can be prohib…