Sourya Dey - RankMe

26 papers A 1C 1Misc 2Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Probing the topology of the space of tokens with structured prompts. CoRR Michael Robinson, Sourya Dey, Taisa Kushner
2025	J	`jnl`	Token embeddings violate the manifold hypothesis. CoRR Michael Robinson, Sourya Dey, Tony Chiang
2024	J	`jnl`	The structure of the token space for large language models. CoRR Michael Robinson, Sourya Dey, Shauna J. Sweet
2023	—	`conf`	DLKoopman: A deep learning software package for Koopman theory. L4DC Sourya Dey, Eric William Davis
2023	J	`jnl`	The 2010 Census Confidentiality Protections Failed, Here's How and Why. CoRR 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
2022	J	`jnl`	DLKoopman: A deep learning software package for Koopman theory. CoRR Sourya Dey, Eric Davis
2022	J	`jnl`	Dynamic Mode Decomposition and Koopman Theory. CoRR Sourya Dey
2022	A	`conf`	LAGOON: An Analysis Tool for Open Source Communities. MSR Sourya Dey, Walt Woods
2022	J	`jnl`	LAGOON: An Analysis Tool for Open Source Communities. CoRR Sourya Dey, Walt Woods
2021	J	`jnl`	Deep-n-Cheap: An Automated Efficient and Extensible Search Framework for Cost-Effective Deep Learning. SN Comput. Sci. Sourya Dey, Sara Babakniya, Saikrishna C. Kanala, Marco Paolieri, Leana Golubchik, Peter A. Beerel, Keith M. Chugg
2020	C	`conf`	Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. ACML Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel
2020	J	`jnl`	Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. CoRR Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel
2019	J	`jnl`	Pre-Defined Sparse Neural Networks With Hardware Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg
2018	—	`conf`	A Highly Parallel FPGA Implementation of Sparse Neural Network Training. ReConFig Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel
2018	J	`jnl`	A Highly Parallel FPGA Implementation of Sparse Neural Network Training. CoRR Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel
2018	Misc	`conf`	Characterizing Sparse Connectivity Patterns in Neural Networks. ITA Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg
2018	—	`conf`	Morse Code Datasets for Machine Learning. ICCCNT Sourya Dey, Keith M. Chugg, Peter A. Beerel
2018	J	`jnl`	Morse Code Datasets for Machine Learning. CoRR Sourya Dey, Keith M. Chugg, Peter A. Beerel
2018	J	`jnl`	Pre-Defined Sparse Neural Networks with Hardware Acceleration. CoRR Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg
2017	—	`conf`	Accelerating Training of Deep Neural Networks via Sparse Edge Processing. ICANN (1) Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel
2017	J	`jnl`	Accelerating Training of Deep Neural Networks via Sparse Edge Processing. CoRR Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel
2017	J	`jnl`	Characterizing Sparse Connectivity Patterns in Neural Networks. CoRR Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg
2017	J	`jnl`	Interleaver Design for Deep Neural Networks. CoRR Sourya Dey, Peter A. Beerel, Keith M. Chugg
2017	Misc	`conf`	Interleaver design for deep neural networks. ACSSC Sourya Dey, Peter A. Beerel, Keith M. Chugg
2017	J	`jnl`	Pricing Football Players using Neural Networks. CoRR Sourya Dey
2016	J	`jnl`	A Nonuniform Sampling ADC Architecture With Reconfigurable Digital Anti-Aliasing Filter. IEEE Trans. Circuits Syst. I Regul. Pap. Tzu-Fan Wu, Sourya Dey, Mike Shuo-Wei Chen