Generative Refinement Learning for Temporal Interpolation in Scientific Machine Learning.

arXiv:2610.36751v1 Announce Type: cross Abstract: Computationally expensive simulations and real-world observations often provide data at a lower temporal resolution than downstream tasks require. Averaging observations at fixed grid points can introduce error