David H. Brookes

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 8

Top Topics

Adaptive Sampling

Expectation Maximization

Evolutionary Computation

Multi Objective Optimization

Top Venues

J. Comput. Chem.

GECCO Companion

Publications

David H. Brookes, Jakub Otwinowski, Sam Sinai
Contrastive losses as generalized models of global epistasis. CoRR (2023)
Farhan Damani, David H. Brookes, Theodore Sternlieb, Cameron Webster, Stephen Malina, Rishi Jajoo, Kathy Lin, Sam Sinai
Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization. CoRR (2023)
David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
A view of estimation of distribution algorithms through the lens of expectation-maximization. GECCO Companion (2020)
David H. Brookes, Hahnbeom Park, Jennifer Listgarten
Conditioning by adaptive sampling for robust design. ICML (2019)
David H. Brookes, Hahnbeom Park, Jennifer Listgarten
Conditioning by adaptive sampling for robust design. CoRR (2019)
David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization. CoRR (2019)
David H. Brookes, Jennifer Listgarten
Design by adaptive sampling. CoRR (2018)
Lisa E. Felberg, David H. Brookes, Eng-Hui Yap, Elizabeth Jurrus, Nathan A. Baker, Teresa Head-Gordon
PB-AM: An open-source, fully analytical linear poisson-boltzmann solver. J. Comput. Chem. 38 (15) (2017)