Austin Tripp
Harvard University(US)Centre Hospitalier de Valence(FR)
Publications by Year
Research Areas
Machine Learning in Materials Science, Computational Drug Discovery Methods, Advanced Multi-Objective Optimization Algorithms, Advanced Chemical Sensor Technologies, Genetics, Bioinformatics, and Biomedical Research
Most-Cited Works
- → DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design(2022)109 cited
- → Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining(2020)37 cited
- → GAUCHE: A Library for Gaussian Processes in Chemistry(2022)33 cited
- → Petroleomic analysis of the treatment of naphthenic organics in oil sands process-affected water with buoyant photocatalysts(2018)33 cited
- → Re-evaluating retrosynthesis algorithms with Syntheseus(2024)28 cited
- → Genetic algorithms are strong baselines for molecule generation(2023)11 cited
- → Nonequilibrium sensing of volatile compounds using active and passive analyte delivery(2023)10 cited
- → Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction(2022)8 cited