STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation 事件

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation arXiv:2505.18647v3 Announce Type: replace-cross Abstract: 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. In particular, recent advances in deep generative modeling and geome