Research paper on learning nonlinear regime transitions using semi-parametric state-space models. Develops methodology for detecting when dynamical systems change behavior.
Research
Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models
Semi-parametric state-space models enable detection of phase transitions in nonlinear dynamical systems without requiring full model specification.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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