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03/13/2023
Large statistical learning models effectively forecast diverse chaotic systems
Chaos and unpredictability are traditionally synonymous, yet recent adva...
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01/31/2023
Recurrences reveal shared causal drivers of complex time series
Many experimental time series measurements share an unobserved causal dr...
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10/11/2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling
The striking fractal geometry of strange attractors underscores the gene...
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02/14/2020
Deep learning of dynamical attractors from time series measurements
Experimental measurements of physical systems often have a finite number...
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09/09/2018