Thomas Flynn

29 papers A 3B 1Misc 2Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamical Implicit Neural Representations.
CoRR
Yesom Park, Kelvin Kan, Thomas Flynn, Yi Huang, Shinjae Yoo, Stanley J. Osher, Xihaier Luo
2024 J jnl
An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM.
CoRR
Vijayalakshmi Saravanan, Perry Siehien, Shinjae Yoo, Hubertus Van Dam, Thomas Flynn, Christopher Kelly, Khaled Z. Ibrahim
2024 J jnl
Correction to: Stochastic projective splitting.
Comput. Optim. Appl.
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
2024 A conf
Learning Generalizable Program and Architecture Representations for Performance Modeling.
SC
Lingda Li, Thomas Flynn, Adolfy Hoisie
2024 B conf
Privacy-Preserving Federated Learning for Science: Challenges and Research Directions.
IEEE Big Data
Kibaek Kim, Krishnan Raghavan, Olivera Kotevska, Matthieu Dorier, Ravi K. Madduri, Minseok Ryu, Todd S. Munson, Robert Ross, Thomas Flynn, Ai Kagawa, Byung-Jun Yoon, Christian Engelmann, Farzad Yousefian
2024 J jnl
Problem-dependent convergence bounds for randomized linear gradient compression.
CoRR
Thomas Flynn, Patrick R. Johnstone, Shinjae Yoo
2024 J jnl
Stochastic projective splitting.
Comput. Optim. Appl.
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
2023 — conf
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems.
e-Energy (Companion)
Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, Thomas Flynn, Draguna L. Vrabie, Christine Sweeney, Vinay Ramakrishnaiah
2023 J jnl
Learning Independent Program and Architecture Representations for Generalizable Performance Modeling.
CoRR
Lingda Li, Thomas Flynn, Adolfy Hoisie
2022 J jnl
A persistent adjoint method with dynamic time-scaling and an application to mass action kinetics.
Numer. Algorithms
Thomas Flynn
2022 A conf
Scalable Deep Learning-Based Microarchitecture Simulation on GPUs.
SC
Santosh Pandey, Lingda Li, Thomas Flynn, Adolfy Hoisie, Hang Liu
2022 — conf
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning.
SIGMETRICS (Abstracts)
Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie
2022 J jnl
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning.
Proc. ACM Meas. Anal. Comput. Syst.
Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie
2021 J jnl
SimNet: Computer Architecture Simulation using Machine Learning.
CoRR
Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie
2021 J jnl
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers.
CoRR
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
2020 J jnl
A persistent adjoint method with dynamic time-scaling and an application to mass action kinetics.
CoRR
Thomas Flynn
2020 A conf
Bounding the expected run-time of nonconvex optimization with early stopping.
UAI
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo
2020 J jnl
Bounding the expected run-time of nonconvex optimization with early stopping.
CoRR
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo
2019 J jnl
A simultaneous perturbation weak derivative estimator for stochastic neural networks.
Comput. Manag. Sci.
Thomas Flynn, Felisa J. Vázquez-Abad
2019 — conf
Change Detection with the Kernel Cumulative Sum Algorithm.
CDC
Thomas Flynn, Shinjae Yoo
2019 J jnl
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training.
CoRR
Kwangmin Yu, Thomas Flynn, Shinjae Yoo, Nicholas D'Imperio
2018 — —
Gradient Estimation for Attractor Networks.
Thomas Flynn
2017 Misc conf
Data driven stochastic approximation for change detection.
WSC
Thomas Flynn, Olympia Hadjiliadis, Ioannis Stamos, Felisa J. Vázquez-Abad
2017 J jnl
Gradient Descent using Duality Structures.
CoRR
Thomas Flynn
2017 Misc conf
Measure valued differentiation for stochastic neural networks.
WSC
Thomas Flynn
2016 J jnl
Forward sensitivity analysis for contracting stochastic systems.
CoRR
Thomas Flynn
2015 — conf
Online Classification in 3D Urban Datasets Based on Hierarchical Detection.
3DV
Thomas Flynn, Olympia Hadjiliadis, Ioannis Stamos
2015 J jnl
Timescale Separation in Recurrent Neural Networks.
Neural Comput.
Thomas Flynn
2012 — conf
Online Algorithms for Classification of Urban Objects in 3D Point Clouds.
3DIMPVT
Ioannis Stamos, Olympia Hadjiliadis, Hongzhong Zhang, Thomas Flynn