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2 results for “dynamical regimes”
SPIN Processed News Frame: The Hype
Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems
Researchers propose Sparse Koopman Autoencoders (SKAEs) — a new unsupervised deep learning architecture that uses sparsity constraints to identify distinct dynamical regimes in multibasin nonlinear systems without labeled regime data, improving forecasting and interpretability over standard Koopman autoencoders.
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arXiv Machine Learning
Sep 1, 2026
SPIN Processed News Frame: The Hype
Validating Causal Abstraction Metrics on Simulated Complex Systems
Researchers propose a new benchmark to evaluate causal abstraction metrics on complex systems.
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arXiv Machine Learning
Published Jul 2, 2026 · Analyzed Jul 5, 2026