Evaluating Reinforcement Learning Algorithms in Observational Health Settings. - Omer Gottesman; Fredrik D. Johansson; Joshua Meier; Jack Dent; Donghun Lee; Srivatsan Srinivasan; Linying Zhang; Yi Ding; David Wihl; Xuefeng Peng; Jiayu Yao; Isaac Lage; et al. (CoRR, 2018)

Energy-based models for atomic-resolution protein conformations. - Yilun Du; Joshua Meier; Jerry Ma; Rob Fergus; Alexander Rives (ICLR, 2020)

Transformer protein language models are unsupervised structure learners. - Roshan Rao; Joshua Meier; Tom Sercu; Sergey Ovchinnikov; Alexander Rives (ICLR, 2021)

MSA Transformer. - Roshan Rao; Jason Liu; Robert Verkuil; Joshua Meier; John F. Canny; Pieter Abbeel; Tom Sercu; Alexander Rives (ICML, 2021)

Language models enable zero-shot prediction of the effects of mutations on protein function. - Joshua Meier; Roshan Rao; Robert Verkuil; Jason Liu; Tom Sercu; Alexander Rives (NeurIPS, 2021)

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. - Alexander Rives; Joshua Meier; Tom Sercu; Siddharth Goyal; Zeming Lin; Jason Liu; Demi Guo; Myle Ott; C. Lawrence Zitnick; Jerry Ma; Rob Fergus (Proc. Natl. Acad. Sci. USA, 2021)