Message Scheduling for Performant, Many-Core Belief Propagation. - Mark Van der Merwe; Vinu Joseph; Ganesh Gopalakrishnan (HPEC, 2019)

A Programmable Approach to Model Compression. - Vinu Joseph; Saurav Muralidharan; Animesh Garg; Michael Garland; Ganesh Gopalakrishnan (CoRR, 2019)

Correctness-preserving Compression of Datasets and Neural Network Models. - Vinu Joseph; Nithin Chalapathi; Aditya Bhaskara; Ganesh Gopalakrishnan; Pavel Panchekha; Mu Zhang 001 (CORRECTNESS@SC, 2020)

Reliable Model Compression via Label-Preservation-Aware Loss Functions. - Vinu Joseph; Shoaib Ahmed Siddiqui; Aditya Bhaskara; Ganesh Gopalakrishnan; Saurav Muralidharan; Michael Garland; Sheraz Ahmed; Andreas Dengel 001 (CoRR, 2020)

A Programmable Approach to Neural Network Compression. - Vinu Joseph; Ganesh Gopalakrishnan; Saurav Muralidharan; Michael Garland; Animesh Garg (IEEE Micro, 2020)

Programmable Neural Network Compression with Correctness Emphasis. - Vinu Joseph (2021)

Understanding the Effect of the Long Tail on Neural Network Compression. - Harvey Dam; Vinu Joseph; Aditya Bhaskara; Ganesh Gopalakrishnan; Saurav Muralidharan; Michael Garland (CoRR, 2023)

ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications. - Charles Gouert; Vinu Joseph; Steven Dalton; Cédric Augonnet; Michael Garland; Nektarios Georgios Tsoutsos (CoRR, 2023)

Accelerated Encrypted Execution of General-Purpose Applications. - Charles Gouert; Vinu Joseph; Steven Dalton; Cédric Augonnet; Michael Garland; Nektarios Georgios Tsoutsos (IACR Cryptol. ePrint Arch., 2023)

Hardware-Accelerated Encrypted Execution of General-Purpose Applications. - Charles Gouert; Vinu Joseph; Steven Dalton; Cédric Augonnet; Michael Garland; Nektarios Georgios Tsoutsos (Proc. Priv. Enhancing Technol., 2025)

Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models. - Harvey Dam; Jonas P. Knochelmann; Vinu Joseph; Ganesh Gopalakrishnan (CoRR, 2025)