Multi-Fidelity Training Reshapes Uncertainty Decomposition in Atomistic Models.

arXiv:2610.35560v2 Announce Type: replace-cross Abstract: Multi-fidelity training, which combines abundant low-fidelity data with scarce high-fidelity labels, is increasingly common in atomistic modeling, but its effect on predictive uncertainty remains largel