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Mahan Fathi

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#machine learning Preprint Aug 2026

Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems

This work uses encoders producing sparse latents in training Sparse Koopman Autoencoders without basin labels or other regime annotations to identify sparse latents and their corresponding supports as label-free, interpretable regime variables for Koopman learning in nonlinear systems with multiple local dynamical laws.

Ai-Dan Li, Uday Kiran Reddy Tadipatri, Mahan Fathi et al. · 0 citations