Shubho Sengupta

According to our database, Shubho Sengupta authored at least 20 papers between 2014 and 2024.

Collaborative distances:

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

2024

Delegated Private Matching For Compute.

Dimitris Mouris, Daniel Masny, Ni Trieu, Shubho Sengupta, Prasad Buddhavarapu, Benjamin M. Case

Proc. Priv. Enhancing Technol., 2024

Assured LLM-Based Software Engineering.

Nadia Alshahwan, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, Eddy Wang

CoRR, 2024

Automated Unit Test Improvement using Large Language Models at Meta.

Nadia Alshahwan, Jubin Chheda, Anastasia Finogenova, Beliz Gokkaya, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, Eddy Wang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

2023

Large Language Models for Software Engineering: Survey and Open Problems.

Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, Jie M. Zhang

Proceedings of the IEEE/ACM International Conference on Software Engineering: Future of Software Engineering, 2023

2022

Parallel Composition of Weighted Finite-State Transducers.

Shubho Sengupta, Vineel Pratap, Awni Y. Hannun

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multi-key Private Matching for Compute.

Prasad Buddhavarapu, Benjamin M. Case, Logan Gore, Andrew Knox, Payman Mohassel, Shubho Sengupta, Erik Taubeneck, Min Xue

IACR Cryptol. ePrint Arch., 2021

Private Randomized Controlled Trials: A Protocol for Industry Scale Deployment.

Mahnush Movahedi, Benjamin M. Case, Andrew Knox, Li Li, Yiming Paul Li, Sanjay Saravanan, Shubho Sengupta, Erik Taubeneck

CoRR, 2021

CrypTen: Secure Multi-Party Computation Meets Machine Learning.

Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten

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

Privacy-Preserving Randomized Controlled Trials: A Protocol for Industry Scale Deployment.

Mahnush Movahedi, Benjamin M. Case, James Honaker, Andrew Knox, Li Li, Yiming Paul Li, Sanjay Saravanan, Shubho Sengupta, Erik Taubeneck

Proceedings of the CCSW@CCS '21: Proceedings of the 2021 on Cloud Computing Security Workshop, 2021

2020

Private Matching for Compute.

Prasad Buddhavarapu, Andrew Knox, Payman Mohassel, Shubho Sengupta, Erik Taubeneck, Vlad Vlaskin

IACR Cryptol. ePrint Arch., 2020

2019

Privacy-Preserving Contextual Bandits.

Awni Y. Hannun, Brian Knott, Shubho Sengupta, Laurens van der Maaten

CoRR, 2019

ELF OpenGo: an analysis and open reimplementation of AlphaZero.

Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, Larry Zitnick

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Deep Voice: Real-time Neural Text-to-Speech.

Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

CoRR, 2017

Deep Voice: Real-time Neural Text-to-Speech.

Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

Proceedings of the 34th International Conference on Machine Learning, 2017

Exploring Sparsity in Recurrent Neural Networks.

Sharan Narang, Greg Diamos, Shubho Sengupta, Erich Elsen

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Persistent RNNs: Stashing Recurrent Weights On-Chip.

Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.

Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu

CoRR, 2015

2014

Deep Speech: Scaling up end-to-end speech recognition.

Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng

CoRR, 2014

Navigating the maze of graph analytics frameworks using massive graph datasets.

Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Jiwon Seo, Jongsoo Park, Muhammad Amber Hassaan, Shubho Sengupta, Zhaoming Yin, Pradeep Dubey

Proceedings of the International Conference on Management of Data, 2014