Flow Map Learning via Nongradient Vector Flow
SGFlow is introduced, an approach for learning flow maps that bypasses explicit invertibility constraints and expensive differentiation through model iteration and trains a model to compute both the ODE solutions and the implied velocity from scratch by following non-conservative dynamics with a stationary point at the...