M$^3$: Reframing Training Measures for Discretized Physical Simulations
arXiv:2605.08843v1 Announce Type: new
Abstract: Neural surrogate models for physical simulations are trained on discretized samples of continuous domains, where the induced empirical measure leads to uneven supervision, biasing optimization and causin…