Interpretability in SciML requires mechanistic understanding rather than sparsity, and prior knowledge is often essential for interpretable scientific discovery.
Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing.Physical Review Letters, 106(15):154101, April 2011
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On the definition and importance of interpretability in scientific machine learning
Interpretability in SciML requires mechanistic understanding rather than sparsity, and prior knowledge is often essential for interpretable scientific discovery.