Merge Network for a Non-Von Neumann Accumulate Accelerator in a 3D Chip. - Anirudh Jain; Sriseshan Srikanth; Erik P. DeBenedictis; Tushar Krishna (ICRC, 2018)

VizSeq: a visual analysis toolkit for text generation tasks. - Changhan Wang; Anirudh Jain; Danlu Chen; Jiatao Gu (EMNLP/IJCNLP (3), 2019)

Practical Deep Learning with Bayesian Principles. - Kazuki Osawa; Siddharth Swaroop; Mohammad Emtiyaz Khan; Anirudh Jain; Runa Eschenhagen; Richard E. Turner; Rio Yokota (NeurIPS, 2019)

Special Session: Exploring the Ultimate Limits of Adiabatic Circuits. - Michael P. Frank; Robert W. Brocato; Thomas M. Conte; Alexander H. Hsia; Anirudh Jain; Nancy A. Missert; Karpur Shukla; Brian D. Tierney (ICCD, 2020)

Intrepydd: performance, productivity, and portability for data science application kernels. - Tong Zhou 007; Jun Shirako; Anirudh Jain; Sriseshan Srikanth; Thomas M. Conte; Richard W. Vuduc; Vivek Sarkar (Onward!, 2020)

Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. - Vishnu Sarukkai; Anirudh Jain; Burak Uzkent; Stefano Ermon (WACV, 2020)

MetaStrider: Architectures for Scalable Memory-centric Reduction of Sparse Data Streams. - Sriseshan Srikanth; Anirudh Jain; Joseph M. Lennon; Thomas M. Conte; Erik DeBenedictis; Jeanine E. Cook (ACM Trans. Archit. Code Optim., 2020)

Dynamic Precision Analog Computing for Neural Networks. - Sahaj Garg; Joe Lou; Anirudh Jain; Mitchell A. Nahmias (CoRR, 2021)

Confounding Tradeoffs for Neural Network Quantization. - Sahaj Garg; Anirudh Jain; Joe Lou; Mitchell A. Nahmias (CoRR, 2021)

SortCache: Intelligent Cache Management for Accelerating Sparse Data Workloads. - Sriseshan Srikanth; Anirudh Jain; Thomas M. Conte; Erik P. DeBenedictis; Jeanine E. Cook (ACM Trans. Archit. Code Optim., 2021)

Scalable Energy-Efficient Microarchitectures With Computational Error Tolerance Via Redundant Residue Number Systems. - Bobin Deng; Sriseshan Srikanth; Anirudh Jain; Thomas M. Conte; Erik DeBenedictis; Jeanine E. Cook (IEEE Trans. Computers, 2022)

Safety Hints for HTM Capacity Abort Mitigation. - Anirudh Jain; Divya Kiran Kadiyala; Alexandros Daglis (HPCA, 2023)

Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs. - George Pu; Anirudh Jain; Jihan Yin; Russell Kaplan (CoRR, 2023)

RASSM: Residue-based Acceleration of Single Sparse Matrix Computation via Adaptive Tiling. - Anirudh Jain; Pulkit Gupta; Thomas M. Conte (ASPLOS (1), 2025)