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ORCIDSourya Dey
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2020 – today
- 2023
[c8]Sourya Dey, Eric William Davis:
DLKoopman: A deep learning software package for Koopman theory. L4DC 2023: 1467-1479- [i12]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 abs/2312.11283 (2023) - 2022
- [c7]Sourya Dey, Walt Woods:
LAGOON: An Analysis Tool for Open Source Communities. MSR 2022: 717-721 - [i11]Sourya Dey, Walt Woods:
LAGOON: An Analysis Tool for Open Source Communities. CoRR abs/2201.11657 (2022) - [i10]Sourya Dey:
Dynamic Mode Decomposition and Koopman Theory. CoRR abs/2211.07561 (2022) - [i9]Sourya Dey, Eric Davis:
DLKoopman: A deep learning software package for Koopman theory. CoRR abs/2211.08992 (2022) - 2021
- [j3]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): 265 (2021) - 2020
- [c6]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: 273-288 - [i8]Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel:
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. CoRR abs/2004.00974 (2020)
2010 – 2019
- 2019
- [j2]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): 332-345 (2019) - [d1]Sourya Dey:
Morse Code Symbol Classification. IEEE DataPort, 2019
- 2018
- [c5]Sourya Dey, Keith M. Chugg, Peter A. Beerel:
Morse Code Datasets for Machine Learning. ICCCNT 2018: 1-7 - [c4]Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Characterizing Sparse Connectivity Patterns in Neural Networks. ITA 2018: 1-9 - [c3]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: 1-4 - [i7]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 abs/1806.01087 (2018) - [i6]Sourya Dey, Keith M. Chugg, Peter A. Beerel:
Morse Code Datasets for Machine Learning. CoRR abs/1807.04239 (2018) - [i5]Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Pre-Defined Sparse Neural Networks with Hardware Acceleration. CoRR abs/1812.01164 (2018) - 2017
- [c2]Sourya Dey, Peter A. Beerel, Keith M. Chugg:
Interleaver design for deep neural networks. ACSSC 2017: 1979-1983 - [c1]Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel:
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. ICANN (1) 2017: 273-280 - [i4]Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel:
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. CoRR abs/1711.01343 (2017) - [i3]Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Characterizing Sparse Connectivity Patterns in Neural Networks. CoRR abs/1711.02131 (2017) - [i2]Sourya Dey:
Pricing Football Players using Neural Networks. CoRR abs/1711.05865 (2017) - [i1]Sourya Dey, Peter A. Beerel, Keith M. Chugg:
Interleaver Design for Deep Neural Networks. CoRR abs/1711.06935 (2017) - 2016
- [j1]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. 63-I(10): 1639-1651 (2016)
Coauthor Index
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