PCA-DDReach computes probabilistic reachable sets with conformal guarantees, using PCA to orient and shrink the error inflation region and segmented surrogate models to scale to high-dimensional long-horizon systems.
Conformal prediction regions for time series using linear complementarity programming
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PCA-DDReach: Efficient Statistical Reachability Analysis of Stochastic Dynamical Systems via Principal Component Analysis
PCA-DDReach computes probabilistic reachable sets with conformal guarantees, using PCA to orient and shrink the error inflation region and segmented surrogate models to scale to high-dimensional long-horizon systems.