David Thorsley

According to our database, David Thorsley authored at least 18 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PROV-IO$^+$+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems.

Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley

IEEE Trans. Parallel Distributed Syst., May, 2024

2023

PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems.

Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf

CoRR, 2023

2022

SaiT: Sparse Vision Transformers through Adaptive Token Pruning.

Ling Li, David Thorsley, Joseph Hassoun

CoRR, 2022

Learned Token Pruning for Transformers.

Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Learned Token Pruning for Transformers.

Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer

CoRR, 2021

2020

Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation.

Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun

CoRR, 2020

Post-training Piecewise Linear Quantization for Deep Neural Networks.

Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun

Proceedings of the Computer Vision - ECCV 2020, 2020

2017

A necessary and sufficient condition for diagnosability of stochastic discrete event systems.

David Thorsley

Discret. Event Dyn. Syst., 2017

2012

Individualized performance prediction during total sleep deprivation: Accounting for trait vulnerability to sleep loss.

Sridhar Ramakrishnan, Srinivas Laxminarayan, David Thorsley, Nancy J. Wesensten, Thomas J. Balkin, Jaques Reifman

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010

Diagnosability of stochastic chemical kinetic systems: a discrete event systems approach.

David Thorsley

Proceedings of the American Control Conference, 2010

2009

Hidden Markov Models for non-well-mixed reaction networks.

Nils Napp, David Thorsley, Eric Klavins

Proceedings of the American Control Conference, 2009

Sequential window diagnoser for discrete-event systems under unreliable observations.

Wen-Chiao Lin, Humberto E. Garcia, David Thorsley, Tae-Sic Yoo

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Diagnosability of stochastic discrete-event systems under unreliable observations.

David Thorsley, Tae-Sic Yoo, Humberto E. Garcia

Proceedings of the American Control Conference, 2008

Model reduction of stochastic processes using Wasserstein pseudometrics.

David Thorsley, Eric Klavins

Proceedings of the American Control Conference, 2008

2007

Active Acquisition of Information for Diagnosis and Supervisory Control of Discrete Event Systems.

David Thorsley, Demosthenis Teneketzis

Discret. Event Dyn. Syst., 2007

2006

Intrusion Detection in Controlled Discrete Event Systems.

David Thorsley, Demosthenis Teneketzis

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005

Diagnosability of stochastic discrete-event systems.

David Thorsley, Demosthenis Teneketzis

IEEE Trans. Autom. Control., 2005

2003

Diagnosability of stochastic automata.

David Thorsley, Demosthenis Teneketzis

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003