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)

Interleaver design for deep neural networks. - Sourya Dey; Peter A. Beerel; Keith M. Chugg (ACSSC, 2017)

Accelerating Training of Deep Neural Networks via Sparse Edge Processing. - Sourya Dey; Yinan Shao; Keith M. Chugg; Peter A. Beerel (ICANN (1), 2017)

Pricing Football Players using Neural Networks. - Sourya Dey (CoRR, 2017)

Morse Code Datasets for Machine Learning. - Sourya Dey; Keith M. Chugg; Peter A. Beerel (ICCCNT, 2018)

Characterizing Sparse Connectivity Patterns in Neural Networks. - Sourya Dey; Kuan-Wen Huang; Peter A. Beerel; Keith M. Chugg (ITA, 2018)

A Highly Parallel FPGA Implementation of Sparse Neural Network Training. - Sourya Dey; Diandian Chen; Zongyang Li; Souvik Kundu 002; Kuan-Wen Huang; Keith M. Chugg; Peter A. Beerel (ReConFig, 2018)

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)

Morse Code Symbol Classification. - Sourya Dey (IEEE DataPort, 2019)

Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. - Sourya Dey; Saikrishna C. Kanala; Keith M. Chugg; Peter A. Beerel (ACML, 2020)

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)

LAGOON: An Analysis Tool for Open Source Communities. - Sourya Dey; Walt Woods (MSR, 2022)

Dynamic Mode Decomposition and Koopman Theory. - Sourya Dey (CoRR, 2022)

DLKoopman: A deep learning software package for Koopman theory. - Sourya Dey; Eric Davis (CoRR, 2022)

DLKoopman: A deep learning software package for Koopman theory. - Sourya Dey; Eric William Davis (L4DC, 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 001; Rolando A. Rodríguez; et al. (CoRR, 2023)

The structure of the token space for large language models. - Michael Robinson 001; Sourya Dey; Shauna J. Sweet (CoRR, 2024)

Probing the topology of the space of tokens with structured prompts. - Michael Robinson 001; Sourya Dey; Taisa Kushner (CoRR, 2025)

Token embeddings violate the manifold hypothesis. - Michael Robinson 001; Sourya Dey; Tony Chiang (CoRR, 2025)