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Ryan Vogt
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On lyapunov exponents for rnns: Understanding information propagation using dynamical systems tools
R Vogt, M Puelma Touzel, E Shlizerman, G Lajoie
Frontiers in Applied Mathematics and Statistics 8, 818799, 2022
272022
Observability analysis and state observer design for a cardiac ionic cell model
A Guzman, R Vogt, C Charron, K Pusarla, L Muñoz
Computers in Biology and Medicine 125, 103910, 2020
32020
Developing a detector model for the experiment for x-ray characterization and timing (EXACT) CubeSat
T Knuth, L Glesener, J Chaffin, D Gebre-Egziabher, T Kukowski, M Yurs, ...
UV, X-Ray, and Gamma-Ray Space Instrumentation for Astronomy XX 10397, 435-447, 2017
32017
Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks
R Vogt, Y Zheng, E Shlizerman
arXiv preprint arXiv:2204.04876, 2022
22022
Controllability and state feedback control of a cardiac ionic cell model
R Vogt, A Guzman, C Charron, L Muñoz
Computers in Biology and Medicine 139, 104909, 2021
22021
Linking Finite-Time Lyapunov Exponents to RNN Gradient Subspaces and Input Sensitivity
R Vogt, E Shlizerman, G Lajoie
2023
Interpretation and Optimization of Recurrent Neural Network Performance Through Lyapunov Exponents Methodology
R Vogt
University of Washington, 2023
2023
Interpretação e otimização do desempenho da rede neural recorrente através da metodologia de expoentes de Lyapunov
RA Vogt
2023
A Design and Feasibility Study for the Detector Assembly of the Experiment for X-ray Characterization and Timing (EXACT) CubeSat Project.
JM Chaffin, L Glesener, M Yurs, K Bergstedt, D Gebre Egziabher, ...
AGU Fall Meeting Abstracts, SH13A-2283, 2016
2016
EXACT-The Solar X-Ray Spectrometer CubeSat
T Knuth, L Glesener, D Gebre-Egziabher, R Vogt, C Denis, H Weiher, ...
AAS/Solar Physics Division Abstracts# 47 47, 6.36, 2016
2016
EXACT: Experiment for X-Ray Characterization and Timing
R Vogt, L Glesener, D Gebre-Egziabher, R Linares, J Vievering, I Zubarev, ...
2016
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