David H. Brookes

According to our database, David H. Brookes authored at least 6 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Beyond the training set: an intuitive method for detecting distribution shift in model-based optimization.

Farhan Damani, David H. Brookes, Theodore Sternlieb, Cameron Webster, Stephen Malina, Rishi Jajoo, Kathy Lin, Sam Sinai

CoRR, 2023

Contrastive losses as generalized models of global epistasis.

David H. Brookes, Jakub Otwinowski, Sam Sinai

CoRR, 2023

2020

A view of estimation of distribution algorithms through the lens of expectation-maximization.

David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Conditioning by adaptive sampling for robust design.

David H. Brookes, Hahnbeom Park, Jennifer Listgarten

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Design by adaptive sampling.

David H. Brookes, Jennifer Listgarten

CoRR, 2018

2017

PB-AM: An open-source, fully analytical linear poisson-boltzmann solver.

Lisa E. Felberg, David H. Brookes, Eng-Hui Yap, Elizabeth Jurrus, Nathan A. Baker, Teresa Head-Gordon

J. Comput. Chem., 2017