Utkarsh Saxena

According to our database, Utkarsh Saxena authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads.

Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

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

IEEE Trans. Emerg. Top. Comput., 2024

ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals.

Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang

CoRR, 2024

Post Training Quantization of Large Language Models with Microscaling Formats.

Sayeh Sharify, Utkarsh Saxena, Zifei Xu, Wanzin Yazar, Ilya Soloveychik, Xin Wang

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression.

Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators.

Utkarsh Saxena, Kaushik Roy

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

McQueen: Mixed Precision Quantization of Early Exit Networks.

Utkarsh Saxena, Kaushik Roy

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Compute-in-Memory Technologies and Architectures for Deep Learning Workloads.

Mustafa Fayez Ali, Sourjya Roy, Utkarsh Saxena, Tanvi Sharma, Anand Raghunathan, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2022

Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning.

Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Embracing Stochasticity to Enable Neuromorphic Computing at the Edge.

Amogh Agrawal, Deboleena Roy, Utkarsh Saxena, Kaushik Roy

IEEE Des. Test, 2021

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

IEEE Trans. Very Large Scale Integr. Syst., 2020

Augmenting smart home network security using blockchain technology.

Utkarsh Saxena, J. S. Sodhi, Rajneesh Tanwar

Int. J. Electron. Secur. Digit. Forensics, 2020

Prediction of Syncope based on Physiological Data Analysis using Decision Tree Algorithm.

Utkarsh Saxena, Soumen Moulik, Diptendu Sinha Roy

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2020

2019

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

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018

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