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ORCIDThomas Flynn 0001
Person information
- affiliation: Brookhaven National Laboratory, Upton, NY, USA
Other persons with the same name
- Thomas Flynn 0002 — Vexcel Corporation, Boulder, CO, USA
- Thomas Flynn 0003 — Emory University Atlanta, GA, USA
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Books and Theses
- 2018
[b1]Thomas Flynn:
Gradient Estimation for Attractor Networks. City University of New York, USA, 2018
Journal Articles
- 2024
- [j6]Patrick R. Johnstone, Jonathan Eckstein
, Thomas Flynn, Shinjae Yoo:
Stochastic projective splitting. Comput. Optim. Appl. 87(2): 397-437 (2024) - [j5]Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo:
Correction to: Stochastic projective splitting. Comput. Optim. Appl. 87(2): 439 (2024) - 2022
- [j4]Thomas Flynn:
A persistent adjoint method with dynamic time-scaling and an application to mass action kinetics. Numer. Algorithms 89(1): 87-113 (2022) - [j3]Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 25:1-25:24 (2022) - 2019
- [j2]Thomas Flynn, Felisa J. Vázquez-Abad:
A simultaneous perturbation weak derivative estimator for stochastic neural networks. Comput. Manag. Sci. 16(4): 715-738 (2019) - 2015
- [j1]Thomas Flynn:
Timescale Separation in Recurrent Neural Networks. Neural Comput. 27(6): 1321-1344 (2015)
Conference and Workshop Papers
- 2023
- [c9]Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, Thomas Flynn, Draguna L. Vrabie, Christine Sweeney, Vinay Ramakrishnaiah:
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. e-Energy (Companion) 2023: 134-139 - 2022
- [c8]Santosh Pandey, Lingda Li, Thomas Flynn, Adolfy Hoisie, Hang Liu:
Scalable Deep Learning-Based Microarchitecture Simulation on GPUs. SC 2022: 79:1-79:15 - [c7]Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. SIGMETRICS (Abstracts) 2022: 67-68 - 2020
- [c6]Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo:
Bounding the expected run-time of nonconvex optimization with early stopping. UAI 2020: 51-60 - 2019
- [c5]Thomas Flynn, Shinjae Yoo:
Change Detection with the Kernel Cumulative Sum Algorithm. CDC 2019: 6092-6099 - 2017
- [c4]Thomas Flynn, Olympia Hadjiliadis, Ioannis Stamos, Felisa J. Vázquez-Abad:
Data driven stochastic approximation for change detection. WSC 2017: 2279-2290 - [c3]Thomas Flynn:
Measure valued differentiation for stochastic neural networks. WSC 2017: 4622-4623 - 2015
- [c2]Thomas Flynn, Olympia Hadjiliadis, Ioannis Stamos:
Online Classification in 3D Urban Datasets Based on Hierarchical Detection. 3DV 2015: 380-388 - 2012
- [c1]Ioannis Stamos, Olympia Hadjiliadis, Hongzhong Zhang, Thomas Flynn:
Online Algorithms for Classification of Urban Objects in 3D Point Clouds. 3DIMPVT 2012: 332-339
Informal and Other Publications
- 2024
- [i9]Vijayalakshmi Saravanan, Perry Siehien, Shinjae Yoo, Hubertus Van Dam, Thomas Flynn, Christopher Kelly, Khaled Z. Ibrahim:
An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM. CoRR abs/2402.10291 (2024) - 2023
- [i8]Lingda Li, Thomas Flynn, Adolfy Hoisie:
Learning Independent Program and Architecture Representations for Generalizable Performance Modeling. CoRR abs/2310.16792 (2023) - 2021
- [i7]Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Computer Architecture Simulation using Machine Learning. CoRR abs/2105.05821 (2021) - [i6]Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo:
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers. CoRR abs/2106.13067 (2021) - 2020
- [i5]Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo:
Bounding the expected run-time of nonconvex optimization with early stopping. CoRR abs/2002.08856 (2020) - [i4]Thomas Flynn:
A persistent adjoint method with dynamic time-scaling and an application to mass action kinetics. CoRR abs/2005.00215 (2020) - 2019
- [i3]Kwangmin Yu, Thomas Flynn, Shinjae Yoo, Nicholas D'Imperio:
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training. CoRR abs/1906.05936 (2019) - 2017
- [i2]Thomas Flynn:
Gradient Descent using Duality Structures. CoRR abs/1708.00523 (2017) - 2016
- [i1]Thomas Flynn:
Forward sensitivity analysis for contracting stochastic systems. CoRR abs/1610.09456 (2016)
Coauthor Index
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