Relative Geometry of Neural Forecasters: Linking Accuracy and Alignment in Learned Latent Geometry

Deniz Kucukahmetler, Maximilian Jean Hemmann, Julian Mosig von Aehrenfeld +4

Neural networks can accurately forecast complex dynamical systems, yet how they internally represent underlying latent geometry remains poorly understood. We study neural forecaste…