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David Thorsley
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2020 – today
- 2024
- [j5]Runzhou Han
, Mai Zheng
, Suren Byna
, Houjun Tang
, Bin Dong
, Dong Dai
, Yong Chen
, Dongkyun Kim, Joseph Hassoun, David Thorsley
:
PROV-IO$^+$+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. IEEE Trans. Parallel Distributed Syst. 35(5): 844-861 (2024) - 2023
- [i4]Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf:
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. CoRR abs/2308.00891 (2023) - 2022
- [c10]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. KDD 2022: 784-794 - [i3]Ling Li, David Thorsley, Joseph Hassoun:
SaiT: Sparse Vision Transformers through Adaptive Token Pruning. CoRR abs/2210.05832 (2022) - 2021
- [i2]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. CoRR abs/2107.00910 (2021) - 2020
- [c9]Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun:
Post-training Piecewise Linear Quantization for Deep Neural Networks. ECCV (2) 2020: 69-86 - [i1]Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun:
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation. CoRR abs/2002.00104 (2020)
2010 – 2019
- 2017
- [j4]David Thorsley:
A necessary and sufficient condition for diagnosability of stochastic discrete event systems. Discret. Event Dyn. Syst. 27(3): 481-500 (2017) - 2012
- [c8]Sridhar Ramakrishnan
, Srinivas Laxminarayan, David Thorsley, Nancy J. Wesensten, Thomas J. Balkin, Jaques Reifman:
Individualized performance prediction during total sleep deprivation: Accounting for trait vulnerability to sleep loss. EMBC 2012: 5574-5577 - 2010
- [c7]David Thorsley:
Diagnosability of stochastic chemical kinetic systems: a discrete event systems approach. ACC 2010: 2623-2630
2000 – 2009
- 2009
- [c6]Wen-Chiao Lin, Humberto E. Garcia, David Thorsley, Tae-Sic Yoo
:
Sequential window diagnoser for discrete-event systems under unreliable observations. Allerton 2009: 668-675 - [c5]Nils Napp, David Thorsley, Eric Klavins:
Hidden Markov Models for non-well-mixed reaction networks. ACC 2009: 737-744 - 2008
- [c4]David Thorsley, Tae-Sic Yoo
, Humberto E. Garcia:
Diagnosability of stochastic discrete-event systems under unreliable observations. ACC 2008: 1158-1165 - [c3]David Thorsley, Eric Klavins:
Model reduction of stochastic processes using Wasserstein pseudometrics. ACC 2008: 1374-1381 - 2007
- [j3]David Thorsley, Demosthenis Teneketzis:
Active Acquisition of Information for Diagnosis and Supervisory Control of Discrete Event Systems. Discret. Event Dyn. Syst. 17(4): 531-583 (2007) - [j2]David Thorsley, Demosthenis Teneketzis:
Active Acquisition of Information for Diagnosis and Supervisory Control of Discrete Event Systems. Discret. Event Dyn. Syst. 17(4): 585-586 (2007) - 2006
- [c2]David Thorsley, Demosthenis Teneketzis:
Intrusion Detection in Controlled Discrete Event Systems. CDC 2006: 6047-6054 - 2005
- [j1]David Thorsley, Demosthenis Teneketzis:
Diagnosability of stochastic discrete-event systems. IEEE Trans. Autom. Control. 50(4): 476-492 (2005) - 2003
- [c1]David Thorsley, Demosthenis Teneketzis:
Diagnosability of stochastic automata. CDC 2003: 6289-6294
Coauthor Index
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last updated on 2024-04-24 23:07 CEST by the dblp team
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