Covariant Compositional Networks For Learning Graphs. - Risi Kondor; Hy Truong Son; Horace Pan; Brandon M. Anderson; Shubhendu Trivedi (ICLR (Workshop), 2018)

Cormorant: Covariant Molecular Neural Networks. - Brandon M. Anderson; Truong-Son Hy; Risi Kondor (NeurIPS, 2019)

Lorentz Group Equivariant Neural Network for Particle Physics. - Alexander Bogatskiy; Brandon M. Anderson; Jan T. Offermann; Marwah Roussi; David W. Miller; Risi Kondor (ICML, 2020)

A community-powered search of machine learning strategy space to find NMR property prediction models. - Lars A. Bratholm; Will Gerrard; Brandon M. Anderson; Shaojie Bai; Sunghwan Choi; Lam Dang; Pavel Hanchar; Addison Howard; Guillaume Huard; Sanghoon Kim; J. Zico Kolter; Risi Kondor; et al. (CoRR, 2020)

ATOM3D: Tasks On Molecules in Three Dimensions. - Raphael J. L. Townshend; Martin Vögele; Patricia Suriana; Alexander Derry; Alexander S. Powers; Yianni Laloudakis; Sidhika Balachandar; Brandon M. Anderson; Stephan Eismann; Risi Kondor; Russ B. Altman; Ron O. Dror (CoRR, 2020)

ATOM3D: Tasks on Molecules in Three Dimensions. - Raphael J. L. Townshend; Martin Vögele; Patricia Suriana; Alexander Derry; Alexander S. Powers; Yianni Laloudakis; Sidhika Balachandar; Bowen Jing; Brandon M. Anderson; Stephan Eismann; Risi Kondor; Russ B. Altman; et al. (NeurIPS Datasets and Benchmarks, 2021)

An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries. - Aryan Pedawi; Pawel Gniewek; Chaoyi Chang; Brandon M. Anderson; Henry van den Bedem (NeurIPS, 2022)

AtomNet PoseRanker: Enriching Ligand Pose Quality for Dynamic Proteins in Virtual High-Throughput Screens. - Kate A. Stafford; Brandon M. Anderson; Jon Sorenson; Henry van den Bedem (J. Chem. Inf. Model., 2022)