Nicholas Bhattacharya

According to our database1, Nicholas Bhattacharya authored at least 4 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman.
Bioinform., January, 2023

Deep self-supervised learning for biosynthetic gene cluster detection and product classification.
PLoS Comput. Biol., 2023

2021
FLIP: Benchmark tasks in fitness landscape inference for proteins.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019
Evaluating Protein Transfer Learning with TAPE.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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