Awesome AI for Science
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Austin Tripp — most-cited papers & profile · AI for Science
← authors
·
overview
Austin Tripp
14
papers ·
78
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
GAUCHE: A Library for Gaussian Processes in Chemistry
2022 · 33 citations
Genetic algorithms are strong baselines for molecule generation
2023 · 12 citations
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
2022 · 9 citations
Re-evaluating Retrosynthesis Algorithms with Syntheseus
2023 · 8 citations
Retrosynthetic Planning with Dual Value Networks
2023 · 5 citations
Retro-fallback: retrosynthetic planning in an uncertain world
2023 · 4 citations
A Deep Generative Model for the Design of Synthesizable Ionizable Lipids
2024 · 3 citations
Batched Bayesian optimization by maximizing the probability of including the optimum
2024 · 2 citations
Stochastic Gradient Descent for Gaussian Processes Done Right
2023 · 1 citations
Diagnosing and fixing common problems in Bayesian optimization for molecule design
2024 · 1 citations
Hash Collisions in Molecular Fingerprints: Effects on Property Prediction and Bayesian Optimization
2025
A study of EHVI vs fixed scalarization for molecule design
2025
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
2021
Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach
2024
Top co-authors
Jos\'e Miguel Hern\'andez-Lobato
· 8
Krzysztof Maziarz
· 3
Marwin Segler
· 3
Guoqing Liu
· 2
Shufang Xie
· 2
Yuxuan Ou
· 2
Aditya Ravuri
· 1
Alexander Terenin
· 1
Alpha A. Lee
· 1
Anabel Yong
· 1
Andreas Bender
· 1
Anthony Bourached
· 1
Topics
Chemistry
Drug Discovery
Materials
Medical AI