Nicholas Bhattacharya

According to our database, Nicholas Bhattacharya authored at least 4 papers between 2019 and 2023.

Collaborative distances:

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

2023

End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman.

Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter K. Koo, Sergey Ovchinnikov

Bioinform., January, 2023

Deep self-supervised learning for biosynthetic gene cluster detection and product classification.

Carolina Rios-Martinez, Nicholas Bhattacharya, Ava P. Amini, Lorin Crawford, Kevin K. Yang

PLoS Comput. Biol., 2023

2021

FLIP: Benchmark tasks in fitness landscape inference for proteins.

Christian Dallago, Jody Mou, Kadina E. Johnston, Bruce J. Wittmann, Nicholas Bhattacharya, Samuel Goldman, Ali Madani, Kevin K. Yang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019

Evaluating Protein Transfer Learning with TAPE.

Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John F. Canny, Pieter Abbeel, Yun S. Song

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019