Tse-Chun Chen

According to our database, Tse-Chun Chen authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence.

Timothy A. Smith, Stephen G. Penny, Jason A. Platt, Tse-Chun Chen

CoRR, 2023

Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks.

Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel

CoRR, 2023

2022

A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics.

Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel

Neural Networks, 2022

'Next Generation' Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form.

Tse-Chun Chen, Stephen G. Penny, Timothy A. Smith, Jason A. Platt

CoRR, 2022

2021

Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation.

Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D. I. Abarbanel

CoRR, 2021