Isaac C. Bannerman

Machine Learning-Enabled Time-Skipping Method: Theory and Perturbation-Based Verification

Using the Implicit Function Theorem, first-order estimates are derived that characterize how ML prediction errors propagate and guide the choice of cycle parameters, independent of model architecture.