pi-Net: Empirical Latent Representations for Differentiable Physics Heads in Data-Scarce Systems.

arXiv:2610.16504v1 Announce Type: cross Abstract: Developing reliable predictive models for multi-physics systems often forces a compromise between computationally demanding physical simulators and data-hungry, opaque machine learning (ML) algorithms. While in