Nicholas Bhattacharya

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 5

Top Topics

Transfer Learning

Manifold Alignment

Fitness Landscape

Protein Protein Interactions

Top Venues

NeurIPS Datasets and Benchmarks

PLoS Comput. Biol.

Publications

Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter K. Koo, Sergey Ovchinnikov
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman. Bioinform. 39 (1) (2023)
Carolina Rios-Martinez, Nicholas Bhattacharya, Ava P. Amini, Lorin Crawford, Kevin K. Yang
Deep self-supervised learning for biosynthetic gene cluster detection and product classification. PLoS Comput. Biol. 19 (5) (2023)
Christian Dallago, Jody Mou, Kadina E. Johnston, Bruce J. Wittmann, Nicholas Bhattacharya, Samuel Goldman, Ali Madani, Kevin Yang
FLIP: Benchmark tasks in fitness landscape inference for proteins. NeurIPS Datasets and Benchmarks (2021)
Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song
Evaluating Protein Transfer Learning with TAPE. NeurIPS (2019)
Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song
Evaluating Protein Transfer Learning with TAPE. CoRR (2019)