On-chip learning for domain wall synapse based Fully Connected Neural Network. - Apoorv Dankar; Anand Verma; Utkarsh Saxena; Divya Kaushik; Shouri Chatterjee; Debanjan Bhowmik (CoRR, 2018)

On-chip Learning In A Conventional Silicon MOSFET Based Analog Hardware Neural Network. - Nilabjo Dey; Janak Sharda; Utkarsh Saxena; Divya Kaushik; Utkarsh Singh; Debanjan Bhowmik (BioCAS, 2019)

Prediction of Syncope based on Physiological Data Analysis using Decision Tree Algorithm. - Utkarsh Saxena; Soumen Moulik; Diptendu Sinha Roy (ICCE-TW, 2020)

Augmenting smart home network security using blockchain technology. - Utkarsh Saxena; J. S. Sodhi; Rajneesh Tanwar (Int. J. Electron. Secur. Digit. Forensics, 2020)

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. - Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Utkarsh Saxena; Saima Sharmin; Minsuk Koo; Yong Shim; Gopalakrishnan Srinivasan; Chamika M. Liyanagedera; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Embracing Stochasticity to Enable Neuromorphic Computing at the Edge. - Amogh Agrawal; Deboleena Roy; Utkarsh Saxena; Kaushik Roy 001 (IEEE Des. Test, 2021)

Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. - Utkarsh Saxena; Indranil Chakraborty; Kaushik Roy 001 (DATE, 2022)

Compute-in-Memory Technologies and Architectures for Deep Learning Workloads. - Mustafa Fayez Ali; Sourjya Roy; Utkarsh Saxena; Tanvi Sharma; Anand Raghunathan; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

McQueen: Mixed Precision Quantization of Early Exit Networks. - Utkarsh Saxena; Kaushik Roy 001 (BMVC, 2023)

Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. - Utkarsh Saxena; Kaushik Roy 001 (ISLPED, 2023)

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. - Utkarsh Saxena; Gobinda Saha; Sakshi Choudhary; Kaushik Roy 001 (EMNLP (Findings), 2024)

Post Training Quantization of Large Language Models with Microscaling Formats. - Sayeh Sharify; Utkarsh Saxena; Zifei Xu; Wanzin Yazar; Ilya Soloveychik; Xin Wang (ENLSP, 2024)

ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals. - Utkarsh Saxena; Sayeh Sharify; Kaushik Roy; Xin Wang (CoRR, 2024)

Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks. - Marco Paul E. Apolinario; Adarsh Kumar Kosta; Utkarsh Saxena; Kaushik Roy 001 (IEEE Trans. Emerg. Top. Comput., 2024)

HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads. - Shubham Negi; Utkarsh Saxena; Deepika Sharma; Kaushik Roy 001 (ASP-DAC, 2025)