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2020 – today
- 2023
[i6]Harvey Dam, Vinu Joseph, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland:
Understanding the Effect of the Long Tail on Neural Network Compression. CoRR abs/2306.06238 (2023)- [i5]Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos:
ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications. CoRR abs/2306.11006 (2023) - [i4]Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos:
Accelerated Encrypted Execution of General-Purpose Applications. IACR Cryptol. ePrint Arch. 2023: 641 (2023) - 2021
- [b1]Vinu Joseph:
Programmable Neural Network Compression with Correctness Emphasis. University of Utah, USA, 2021 - 2020
- [j1]Vinu Joseph, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg:
A Programmable Approach to Neural Network Compression. IEEE Micro 40(5): 17-25 (2020) - [c2]Vinu Joseph, Nithin Chalapathi, Aditya Bhaskara, Ganesh Gopalakrishnan, Pavel Panchekha, Mu Zhang
:
Correctness-preserving Compression of Datasets and Neural Network Models. CORRECTNESS@SC 2020: 1-9 - [i3]Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel:
Reliable Model Compression via Label-Preservation-Aware Loss Functions. CoRR abs/2012.01604 (2020)
2010 – 2019
- 2019
- [c1]Mark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan:
Message Scheduling for Performant, Many-Core Belief Propagation. HPEC 2019: 1-7 - [i2]Mark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan:
Message Scheduling for Performant, Many-Core Belief Propagation. CoRR abs/1909.11469 (2019) - [i1]Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan:
A Programmable Approach to Model Compression. CoRR abs/1911.02497 (2019)
Coauthor Index
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