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Geoff Pleiss — most-cited papers & profile · AI for Science
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overview
Geoff Pleiss
9
papers ·
28
citations ·
18
h-index
Vector Institute
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
2024 · 10 citations
Approximation-Aware Bayesian Optimization
2024
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?
2024
Top co-authors
Agustinus Kristiadi
· 2
Felix Strieth-Kalthoff
· 2
Pascal Poupart
· 2
Al\'an Aspuru-Guzik
· 1
David Eriksson
· 1
Jacob R. Gardner
· 1
John P. Cunningham
· 1
Kyurae Kim
· 1
Marta Skreta
· 1
Natalie Maus
· 1
Sriram Ganapathi Subramanian
· 1
Vincent Fortuin
· 1
Topics
Chemistry
Drug Discovery
Materials