Alexander Rives

According to our database, Alexander Rives authored at least 7 papers between 2005 and 2022.

Collaborative distances:

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

2022

Learning inverse folding from millions of predicted structures.

Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives

Proceedings of the International Conference on Machine Learning, 2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MSA Transformer.

Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives

Proceedings of the 38th International Conference on Machine Learning, 2021

Transformer protein language models are unsupervised structure learners.

Roshan Rao, Joshua Meier, Tom Sercu, Sergey Ovchinnikov, Alexander Rives

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Energy-based models for atomic-resolution protein conformations.

Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives

Proceedings of the 8th International Conference on Learning Representations, 2020

2005

Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis.

Long J. Lu, Yu Xia, Haiyuan Yu, Alexander Rives, Haoxin Lu, Falk Schubert, Mark Gerstein

Proceedings of the Data Analysis and Visualization in Genomics and Proteomics, 2005