Applications of Ensemble Forecast sensitivity to observations for Improving numerical Weather Prediction. - Tse-Chun Chen (2018)

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)

'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)

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)

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)

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)

Smart Sampling of Representative Hourly Power Generation Scenario With High Renewable Penetration. - Tse-Chun Chen; Meghana Ramesh; Chuan Qin; Bharat Vyakaranam; Zhangshuan Hou; Travis C. Douville; Nader A. Samaan (IEEE Access, 2024)

xesn: Echo state networks powered by Xarray and Dask. - Timothy A. Smith; Stephen G. Penny; Jason A. Platt; Tse-Chun Chen (J. Open Source Softw., 2024)