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Anirudh Jain
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2020 – today
- 2023
- [c7]Anirudh Jain, Divya Kiran Kadiyala, Alexandros Daglis:
Safety Hints for HTM Capacity Abort Mitigation. HPCA 2023: 206-219 - [i6]George Pu, Anirudh Jain, Jihan Yin, Russell Kaplan:
Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs. CoRR abs/2304.14999 (2023) - 2022
- [j3]Bobin Deng
, Sriseshan Srikanth
Scalable Energy-Efficient Microarchitectures With Computational Error Tolerance Via Redundant Residue Number Systems. IEEE Trans. Computers 71(3): 613-627 (2022) - 2021
- [j2]Sriseshan Srikanth
SortCache: Intelligent Cache Management for Accelerating Sparse Data Workloads. ACM Trans. Archit. Code Optim. 18(4): 56:1-56:24 (2021) - [i5]Sahaj Garg, Joe Lou, Anirudh Jain, Mitchell A. Nahmias:
Dynamic Precision Analog Computing for Neural Networks. CoRR abs/2102.06365 (2021) - [i4]Sahaj Garg, Anirudh Jain, Joe Lou, Mitchell A. Nahmias:
Confounding Tradeoffs for Neural Network Quantization. CoRR abs/2102.06366 (2021) - 2020
- [j1]Sriseshan Srikanth
MetaStrider: Architectures for Scalable Memory-centric Reduction of Sparse Data Streams. ACM Trans. Archit. Code Optim. 16(4): 35:1-35:26 (2020) - [c6]Michael P. Frank, Robert W. Brocato, Thomas M. Conte
Special Session: Exploring the Ultimate Limits of Adiabatic Circuits. ICCD 2020: 21-24 - [c5]Tong Zhou
Intrepydd: performance, productivity, and portability for data science application kernels. Onward! 2020: 65-83 - [c4]Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon:
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. WACV 2020: 1785-1794
2010 – 2019
- 2019
- [c3]Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu:
VizSeq: a visual analysis toolkit for text generation tasks. EMNLP/IJCNLP (3) 2019: 253-258 - [c2]Kazuki Osawa, Siddharth Swaroop, Mohammad Emtiyaz Khan, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota:
Practical Deep Learning with Bayesian Principles. NeurIPS 2019: 4289-4301 - [i3]Kazuki Osawa, Siddharth Swaroop, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota, Mohammad Emtiyaz Khan:
Practical Deep Learning with Bayesian Principles. CoRR abs/1906.02506 (2019) - [i2]Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu:
VizSeq: A Visual Analysis Toolkit for Text Generation Tasks. CoRR abs/1909.05424 (2019) - [i1]Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon:
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks. CoRR abs/1912.06838 (2019) - 2018
- [c1]Anirudh Jain, Sriseshan Srikanth, Erik P. DeBenedictis, Tushar Krishna:
Merge Network for a Non-Von Neumann Accumulate Accelerator in a 3D Chip. ICRC 2018: 1-11
Coauthor Index
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