David Thorsley

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 8

Top Topics

Piecewise Linear

Scientific Data

Top Venues

Discret. Event Dyn. Syst.

Publications

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) (2024)
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 (2023)
Ling Li, David Thorsley, Joseph Hassoun
SaiT: Sparse Vision Transformers through Adaptive Token Pruning. CoRR (2022)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. KDD (2022)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. CoRR (2021)
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)
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 (2020)
David Thorsley
A necessary and sufficient condition for diagnosability of stochastic discrete event systems. Discret. Event Dyn. Syst. 27 (3) (2017)
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)
David Thorsley
Diagnosability of stochastic chemical kinetic systems: a discrete event systems approach. ACC (2010)
Wen-Chiao Lin, Humberto E. Garcia, David Thorsley, Tae-Sic Yoo
Sequential window diagnoser for discrete-event systems under unreliable observations. Allerton (2009)
Nils Napp, David Thorsley, Eric Klavins
Hidden Markov Models for non-well-mixed reaction networks. ACC (2009)
David Thorsley, Eric Klavins
Model reduction of stochastic processes using Wasserstein pseudometrics. ACC (2008)
David Thorsley, Tae-Sic Yoo, Humberto E. Garcia
Diagnosability of stochastic discrete-event systems under unreliable observations. ACC (2008)
David Thorsley, Demosthenis Teneketzis
Active Acquisition of Information for Diagnosis and Supervisory Control of Discrete Event Systems. Discret. Event Dyn. Syst. 17 (4) (2007)
David Thorsley, Demosthenis Teneketzis
Active Acquisition of Information for Diagnosis and Supervisory Control of Discrete Event Systems. Discret. Event Dyn. Syst. 17 (4) (2007)
David Thorsley, Demosthenis Teneketzis
Intrusion Detection in Controlled Discrete Event Systems. CDC (2006)
David Thorsley, Demosthenis Teneketzis
Diagnosability of stochastic discrete-event systems. IEEE Trans. Autom. Control. 50 (4) (2005)
David Thorsley, Demosthenis Teneketzis
Diagnosability of stochastic automata. CDC (2003)