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Timothy A. Smith
Publication Activity (10 Years)
Years Active: 2016-2023
Publications (10 Years): 7
Top Topics
Reservoir Computing
Data Assimilation
State Estimation
Recurrent Neural Networks
Top Venues
CoRR
J. Comput. Phys.
Neural Networks
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Publications
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Timothy A. Smith
,
Stephen G. Penny
,
Jason A. Platt
,
Tse-Chun Chen
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence.
CoRR
(2023)
Jason A. Platt
,
Stephen G. Penny
,
Timothy A. Smith
,
Tse-Chun Chen
,
Henry D. I. Abarbanel
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks.
CoRR
(2023)
Tse-Chun Chen
,
Stephen G. Penny
,
Timothy A. Smith
,
Jason A. Platt
'Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form.
CoRR
(2022)
Jason A. Platt
,
Stephen G. Penny
,
Timothy A. Smith
,
Tse-Chun Chen
,
Henry D. I. Abarbanel
A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics.
CoRR
(2022)
Jason A. Platt
,
Stephen G. Penny
,
Timothy A. Smith
,
Tse-Chun Chen
,
Henry D. I. Abarbanel
A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics.
Neural Networks
153 (2022)
Stephen G. Penny
,
Timothy A. Smith
,
Tse-Chun Chen
,
Jason A. Platt
,
Hsin-Yi Lin
,
Michael Goodliff
,
Henry D. I. Abarbanel
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation.
CoRR
(2021)
Timothy A. Smith
,
David J. Petty
,
Carlos Pantano
A Roe-like numerical method for weakly hyperbolic systems of equations in conservation and non-conservation form.
J. Comput. Phys.
316 (2016)