Four papers were accepted to Neural Information Processing Systems (NeurIPS): Non-deep Networks, Domain Generalization without Excess Empirical Risk, Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics, and Scale-invariant Learning by Physics Inversion. Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics was selected for oral presentation at the conference.
