Austin Tripp

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

Austin Tripp, Erik Daxberger, José Miguel Hernández-Lobato · arXiv (Cornell University) · 2020 · 37 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Petroleomic analysis of the treatment of naphthenic organics in oil sands process-affected water with buoyant photocatalysts

Tim Leshuk, Kerry M. Peru, Diogo de Oliveira Livera et al. · Water Research · 2018 · 33 citations · Full text

Chemical Engineering, Engineering, Photochemistry +10

Re-evaluating retrosynthesis algorithms with Syntheseus

Krzysztof Maziarz, Austin Tripp, Guoqing Liu et al. · Faraday Discussions · 2024 · 26 citations

Artificial Intelligence, Computational Science, Engineering +13

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

Austin Tripp, Erik Daxberger, José Miguel Hernández-Lobato · Cambridge University Engineering Department Publications Database · 2020 · 14 citations

Artificial Intelligence, Engineering, Machine Learning +16

Genetic algorithms are strong baselines for molecule generation

Austin Tripp, José Miguel Hernández-Lobato · arXiv (Cornell University) · 2023 · 11 citations · Full text