Utkarsh Saxena

26 papers A* 1A 3Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
CourtNav: Voice-Guided, Anchor-Accurate Navigation of Long Legal Documents in Courtrooms.
CoRR
Sai Khadloya, Kush Juvekar, Arghya Bhattacharya, Utkarsh Saxena
2026 J jnl
Dynamic Chunking Diffusion Transformer.
CoRR
Akash Haridas, Utkarsh Saxena, Parsa Ashrafi Fashi, Mehdi Rezagholizadeh, Vikram Appia, Emad Barsoum
2025 J jnl
Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal Reasoning.
CoRR
Kush Juvekar, Arghya Bhattacharya, Sai Khadloya, Utkarsh Saxena
2025 — conf
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads.
ASP-DAC
Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy
2025 J jnl
KVLinC : KV Cache Quantization with Hadamard Rotation and Linear Correction.
CoRR
Utkarsh Saxena, Kaushik Roy
2025 A* conf
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals.
ICML
Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang
2025 J jnl
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning.
CoRR
Manish Nagaraj, Sakshi Choudhary, Utkarsh Saxena, Deepak Ravikumar, Kaushik Roy
2024 J jnl
Algorithm Hardware Co-Design for ADC-Less Compute In-Memory Accelerator.
IEEE Trans. Circuits Syst. Artif. Intell.
Shubham Negi, Utkarsh Saxena, Deepika Sharma, Jeffry Victor, Imtiaz Ahmed, Sumeet Kumar Gupta, Kaushik Roy
2024 — conf
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression.
EMNLP (Findings)
Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy
2024 J jnl
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression.
CoRR
Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy
2024 J jnl
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads.
CoRR
Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy
2024 J jnl
Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks.
IEEE Trans. Emerg. Top. Comput.
Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy
2024 — conf
Post Training Quantization of Large Language Models with Microscaling Formats.
ENLSP
Sayeh Sharify, Utkarsh Saxena, Zifei Xu, Wanzin Yazar, Ilya Soloveychik, Xin Wang
2024 J jnl
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals.
CoRR
Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang
2023 A conf
McQueen: Mixed Precision Quantization of Early Exit Networks.
BMVC
Utkarsh Saxena, Kaushik Roy
2023 A conf
Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators.
ISLPED
Utkarsh Saxena, Kaushik Roy
2022 J jnl
Compute-in-Memory Technologies and Architectures for Deep Learning Workloads.
IEEE Trans. Very Large Scale Integr. Syst.
Mustafa Fayez Ali, Sourjya Roy, Utkarsh Saxena, Tanvi Sharma, Anand Raghunathan, Kaushik Roy
2022 J jnl
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks.
CoRR
Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy
2022 A conf
Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning.
DATE
Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy
2021 J jnl
Embracing Stochasticity to Enable Neuromorphic Computing at the Edge.
IEEE Des. Test
Amogh Agrawal, Deboleena Roy, Utkarsh Saxena, Kaushik Roy
2020 J jnl
Augmenting smart home network security using blockchain technology.
Int. J. Electron. Secur. Digit. Forensics
Utkarsh Saxena, J. S. Sodhi, Rajneesh Tanwar
2020 — conf
Prediction of Syncope based on Physiological Data Analysis using Decision Tree Algorithm.
ICCE-TW
Utkarsh Saxena, Soumen Moulik, Diptendu Sinha Roy
2020 J jnl
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies.
IEEE Trans. Very Large Scale Integr. Syst.
Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy
2019 — conf
On-chip Learning In A Conventional Silicon MOSFET Based Analog Hardware Neural Network.
BioCAS
Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik
2019 J jnl
On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network.
CoRR
Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik
2018 J jnl
On-chip learning for domain wall synapse based Fully Connected Neural Network.
CoRR
Apoorv Dankar, Anand Verma, Utkarsh Saxena, Divya Kaushik, Shouri Chatterjee, Debanjan Bhowmik