Roshan Rao

According to our database, Roshan Rao authored at least 10 papers between 2018 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

2021

Training, Evaluating, and Understanding Evolutionary Models for Protein Sequences

Roshan Rao

PhD thesis, 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

Quality and Relevance Metrics for Selection of Multimodal Pretraining Data.

Roshan Rao, Sudha Rao, Elnaz Nouri, Debadeepta Dey, Asli Celikyilmaz, Bill Dolan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

GPU accelerated t-distributed stochastic neighbor embedding.

David M. Chan, Roshan Rao, Forrest Huang, John F. Canny

J. Parallel Distributed Comput., 2019

ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations.

Daniel Seita, David M. Chan, Roshan Rao, Chen Tang, Mandi Zhao, John F. Canny

CoRR, 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

2018

T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data.

David M. Chan, Roshan Rao, Forrest Huang, John F. Canny

Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018