Alexander Rives

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 7

Top Topics

Protein Functional

Physicochemical Properties

Unsupervised Learning

Top Venues

Proc. Natl. Acad. Sci. USA

Publications

Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives
Learning inverse folding from millions of predicted structures. ICML (2022)
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)