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

In three linesPrismFlow introduces a new Flow Matching method for time-series generation using Koopman-inspired dynamical experts that learn residual corrections in latent space with a confidence-aware Winner-Take-All objective. Results: +15.6% Context-FID gain and +38.6% Discriminative Score improvement across benchmarks.

Summary generated by Claude — human-verified