PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation

This research proposes PrismFlow, a new Flow Matching method for high-quality time-series data generation. It tackles the issue of overly smoothed approximations in single vector-field estimators by introducing Koopman-inspired dynamical experts that learn residual corrections.