Sourya Dey

According to our database, Sourya Dey authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

The structure of the token space for large language models.

Michael Robinson, Sourya Dey, Shauna J. Sweet

CoRR, 2024

2023

The 2010 Census Confidentiality Protections Failed, Here's How and Why.

John M. Abowd, Tamara Adams, Robert Ashmead, David Darais, Sourya Dey, Simson L. Garfinkel, Nathan Goldschlag, Daniel Kifer, Philip Leclerc, Ethan Lew, Scott Moore, Rolando A. Rodríguez, Ramy N. Tadros, Lars Vilhuber

CoRR, 2023

DLKoopman: A deep learning software package for Koopman theory.

Sourya Dey, Eric William Davis

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

DLKoopman: A deep learning software package for Koopman theory.

Sourya Dey, Eric Davis

CoRR, 2022

Dynamic Mode Decomposition and Koopman Theory.

Sourya Dey

CoRR, 2022

LAGOON: An Analysis Tool for Open Source Communities.

Sourya Dey, Walt Woods

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

Deep-n-Cheap: An Automated Efficient and Extensible Search Framework for Cost-Effective Deep Learning.

Sourya Dey, Sara Babakniya, Saikrishna C. Kanala, Marco Paolieri, Leana Golubchik, Peter A. Beerel, Keith M. Chugg

SN Comput. Sci., 2021

2020

Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning.

Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Morse Code Symbol Classification.

Sourya Dey

Dataset, September, 2019

Pre-Defined Sparse Neural Networks With Hardware Acceleration.

Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg

IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

2018

A Highly Parallel FPGA Implementation of Sparse Neural Network Training.

Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel

Proceedings of the 2018 International Conference on ReConFigurable Computing and FPGAs, 2018

Characterizing Sparse Connectivity Patterns in Neural Networks.

Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg

Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Morse Code Datasets for Machine Learning.

Sourya Dey, Keith M. Chugg, Peter A. Beerel

Proceedings of the 9th International Conference on Computing, 2018

2017

Pricing Football Players using Neural Networks.

Sourya Dey

CoRR, 2017

Accelerating Training of Deep Neural Networks via Sparse Edge Processing.

Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Interleaver design for deep neural networks.

Sourya Dey, Peter A. Beerel, Keith M. Chugg

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

A Nonuniform Sampling ADC Architecture With Reconfigurable Digital Anti-Aliasing Filter.

Tzu-Fan Wu, Sourya Dey, Mike Shuo-Wei Chen

IEEE Trans. Circuits Syst. I Regul. Pap., 2016