Tse-Chun Chen

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Data Assimilation

State Estimation

Recurrent Neural Networks

Top Venues

Neural Networks

Publications

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)