Sourya Dey

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 23

Top Topics

Software Package

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

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
The 2010 Census Confidentiality Protections Failed, Here's How and Why. CoRR (2023)
Sourya Dey, Eric William Davis
DLKoopman: A deep learning software package for Koopman theory. L4DC (2023)
Sourya Dey
Dynamic Mode Decomposition and Koopman Theory. CoRR (2022)
Sourya Dey, Walt Woods
LAGOON: An Analysis Tool for Open Source Communities. CoRR (2022)
Sourya Dey, Eric Davis
DLKoopman: A deep learning software package for Koopman theory. CoRR (2022)
Sourya Dey, Walt Woods
LAGOON: An Analysis Tool for Open Source Communities. MSR (2022)
Sourya Dey, Sara Babakniya, Saikrishna C. Kanala, Marco Paolieri, Leana Golubchik, Peter A. Beerel, Keith M. Chugg
Deep-n-Cheap: An Automated Efficient and Extensible Search Framework for Cost-Effective Deep Learning. SN Comput. Sci. 2 (4) (2021)
Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. CoRR (2020)
Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. ACML (2020)
Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg
Pre-Defined Sparse Neural Networks With Hardware Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (2) (2019)
Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg
Characterizing Sparse Connectivity Patterns in Neural Networks. ITA (2018)
Sourya Dey, Keith M. Chugg, Peter A. Beerel
Morse Code Datasets for Machine Learning. CoRR (2018)
Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg
Pre-Defined Sparse Neural Networks with Hardware Acceleration. CoRR (2018)
Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel
A Highly Parallel FPGA Implementation of Sparse Neural Network Training. ReConFig (2018)
Sourya Dey, Keith M. Chugg, Peter A. Beerel
Morse Code Datasets for Machine Learning. ICCCNT (2018)
Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel
A Highly Parallel FPGA Implementation of Sparse Neural Network Training. CoRR (2018)
Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. ICANN (1) (2017)
Sourya Dey, Peter A. Beerel, Keith M. Chugg
Interleaver design for deep neural networks. ACSSC (2017)
Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg
Characterizing Sparse Connectivity Patterns in Neural Networks. CoRR (2017)
Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. CoRR (2017)
Sourya Dey
Pricing Football Players using Neural Networks. CoRR (2017)
Sourya Dey, Peter A. Beerel, Keith M. Chugg
Interleaver Design for Deep Neural Networks. CoRR (2017)
Tzu-Fan Wu, Sourya Dey, Mike Shuo-Wei Chen
A Nonuniform Sampling ADC Architecture With Reconfigurable Digital Anti-Aliasing Filter. IEEE Trans. Circuits Syst. I Regul. Pap. (10) (2016)