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ORCIDUtkarsh Saxena
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2020 – today
- 2024
[j5]Marco Paul E. Apolinario
, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy:
Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. 12(1): 35-47 (2024)- [c6]Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy:
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. EMNLP (Findings) 2024: 15332-15344 - [i5]Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy:
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads. CoRR abs/2403.13577 (2024) - [i4]Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy:
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. CoRR abs/2408.05646 (2024) - 2023
- [c5]Utkarsh Saxena, Kaushik Roy:
McQueen: Mixed Precision Quantization of Early Exit Networks. BMVC 2023: 511-513 - [c4]Utkarsh Saxena, Kaushik Roy:
Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. ISLPED 2023: 1-6 - 2022
- [j4]Mustafa Fayez Ali, Sourjya Roy, Utkarsh Saxena, Tanvi Sharma, Anand Raghunathan, Kaushik Roy:
Compute-in-Memory Technologies and Architectures for Deep Learning Workloads. IEEE Trans. Very Large Scale Integr. Syst. 30(11): 1615-1630 (2022) - [c3]Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy:
Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. DATE 2022: 624-627 - [i3]Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy:
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks. CoRR abs/2211.02167 (2022) - 2021
- [j3]Amogh Agrawal, Deboleena Roy, Utkarsh Saxena, Kaushik Roy:
Embracing Stochasticity to Enable Neuromorphic Computing at the Edge. IEEE Des. Test 38(6): 28-35 (2021) - 2020
- [j2]Utkarsh Saxena, J. S. Sodhi, Rajneesh Tanwar:
Augmenting smart home network security using blockchain technology. Int. J. Electron. Secur. Digit. Forensics 12(1): 99-117 (2020) - [j1]Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy:
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28(12): 2481-2494 (2020) - [c2]Utkarsh Saxena, Soumen Moulik, Diptendu Sinha Roy:
Prediction of Syncope based on Physiological Data Analysis using Decision Tree Algorithm. ICCE-TW 2020: 1-2
2010 – 2019
- 2019
- [c1]Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik:
On-chip Learning In A Conventional Silicon MOSFET Based Analog Hardware Neural Network. BioCAS 2019: 1-4 - [i2]Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik:
On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network. CoRR abs/1907.00625 (2019) - 2018
- [i1]Apoorv Dankar, Anand Verma, Utkarsh Saxena, Divya Kaushik, Shouri Chatterjee, Debanjan Bhowmik:
On-chip learning for domain wall synapse based Fully Connected Neural Network. CoRR abs/1811.09966 (2018)
Coauthor Index
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