Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification
arXiv:2604.17566v1 Announce Type: cross
Abstract: Machine learning is becoming increasingly important for nonlinear system identification, including dynamical systems with spatially distributed outputs. However, classical identification and forecastin…