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Auto-Encoded Reservoir Computing for Turbulence Learning.

, , and . ICCS (5), volume 12746 of Lecture Notes in Computer Science, page 344-351. Springer, (2021)

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Auto-Encoded Reservoir Computing for Turbulence Learning., , and . ICCS (5), volume 12746 of Lecture Notes in Computer Science, page 344-351. Springer, (2021)Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach., , and . ICCS (6), volume 12142 of Lecture Notes in Computer Science, page 117-123. Springer, (2020)Physics-Informed Echo State Networks for Chaotic Systems Forecasting., , and . ICCS (4), volume 11539 of Lecture Notes in Computer Science, page 192-198. Springer, (2019)Clustering-Based Identification of Precursors of Extreme Events in Chaotic Systems., and . ICCS (4), volume 14076 of Lecture Notes in Computer Science, page 313-327. Springer, (2023)Physics-Informed Echo State Networks., , and . CoRR, (2020)Auto-Encoded Reservoir Computing for Turbulence Learning., , and . CoRR, (2020)A physics-aware machine to predict extreme events in turbulence., , and . CoRR, (2019)Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence., , and . ICCS (4), volume 14076 of Lecture Notes in Computer Science, page 328-335. Springer, (2023)