Joshua Meier

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 7

Top Topics

Protein Functional

Reinforcement Learning Algorithms

Unsupervised Learning

Top Venues

Proc. Natl. Acad. Sci. USA

Publications

Joshua Meier, Roshan Rao, Robert Verkuil, Jason Liu, Tom Sercu, Alexander Rives
Language models enable zero-shot prediction of the effects of mutations on protein function. NeurIPS (2021)
Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118 (15) (2021)
Roshan Rao, Joshua Meier, Tom Sercu, Sergey Ovchinnikov, Alexander Rives
Transformer protein language models are unsupervised structure learners. ICLR (2021)
Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives
MSA Transformer. ICML (2021)
Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives
Energy-based models for atomic-resolution protein conformations. CoRR (2020)
Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives
Energy-based models for atomic-resolution protein conformations. ICLR (2020)
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, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR (2018)