MF-SHRED maps point-kinetics trajectories to high-fidelity diffusion fields in one LRA benchmark with ~1-2% errors and ~500x speedup, but two of the three claimed benchmarks are absent.
arXiv preprint arXiv:2404.07536 , year=
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Multi-Fidelity Learning with Shallow Recurrent Decoders for Multi-Physics Applications
MF-SHRED maps point-kinetics trajectories to high-fidelity diffusion fields in one LRA benchmark with ~1-2% errors and ~500x speedup, but two of the three claimed benchmarks are absent.