Utkarsh Saxena

According to our database, Utkarsh Saxena authored at least 24 papers between 2018 and 2026.

Collaborative distances:

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

2026

Long-Context Aware Upcycling: A New Frontier for Hybrid LLM Scaling.

Parsa Ashrafi Fashi, Utkarsh Saxena, Mehdi Rezagholizadeh, Aref Jafari, Akash Haridas, Mingyu Yang, Vansh Bhatia, Guihong Li, Vikram Appia, Emad Barsoum

CoRR, April, 2026

OASIS: Online Activation Subspace Learning for Memory-Efficient Training.

Sakshi Choudhary, Utkarsh Saxena, Kaushik Roy

CoRR, April, 2026

Dynamic Chunking Diffusion Transformer.

Akash Haridas, Utkarsh Saxena, Parsa Ashrafi Fashi, Mehdi Rezagholizadeh, Vikram Appia, Emad Barsoum

CoRR, March, 2026

CourtNav: Voice-Guided, Anchor-Accurate Navigation of Long Legal Documents in Courtrooms.

Sai Khadloya, Kush Juvekar, Arghya Bhattacharya, Utkarsh Saxena

CoRR, January, 2026

MIRAGE:MRAM-Based Near ADC-Less Compute-In-Memory Macro for Deep Learning Acceleration.

Mainakh Mukherjee, Ayan B. Pranta, Utkarsh Saxena, Anushka Mukherjee, Deepika Sharma, Gaurav Kumar K, Kaushik Roy

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal Reasoning.

Kush Juvekar, Arghya Bhattacharya, Sai Khadloya, Utkarsh Saxena

CoRR, October, 2025

TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning.

Manish Nagaraj, Sakshi Choudhary, Utkarsh Saxena, Deepak Ravikumar, Kaushik Roy

CoRR, October, 2025

KVLinC : KV Cache Quantization with Hadamard Rotation and Linear Correction.

Utkarsh Saxena, Kaushik Roy

CoRR, October, 2025

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

Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang

Proceedings of the Forty-second International Conference on Machine Learning, 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

Algorithm Hardware Co-Design for ADC-Less Compute In-Memory Accelerator.

Shubham Negi, Utkarsh Saxena, Deepika Sharma, Jeffry Victor, Imtiaz Ahmed, Sumeet Kumar Gupta, Kaushik Roy

IEEE Trans. Circuits Syst. Artif. Intell., December, 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

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