AI RESEARCH
MCMC Informed Neural Emulators for Uncertainty Quantification in Dynamical Systems
arXiv CS.LG
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ArXi:2603.10987v1 Announce Type: new Neural networks are a commonly used approach to replace physical models with computationally cheap surrogates. Parametric uncertainty quantification can be included in