The Dynamics of Discoverability: How Trajectories and Priors Shape Equation Recovery
cs.LG, nlin.CD
Submitted: 2026-07-20
Updated: 2026-10-05
Terminology
Sources
- Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
- When is a System Discoverable from Data? Discovery Requires Chaos
- Information theory and discriminative sampling for model discovery
- Exact Recovery of Chaotic Systems from Highly Corrupted Data
- Extracting Sparse High-Dimensional Dynamics from Limited Data
- Extracting structured dynamical systems using sparse optimization with very few samples
- Benchmarking symbolic regression constant optimization schemes
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