Kiet Bennema ten Brinke

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation

Simulating trajectories of dynamical systems is a fundamental problem in a wide range of fields such as molecular dynamics, biochemistry, and pedestrian dynamics. Machine learning has become an invaluable tool for scaling physics-based simulators and developing models directly from experimental data…