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Found 3 papers, 1 papers with code
Chilled Sampling for Uncertainty Quantification: A Motivation From A Meteorological Inverse Problem
The main contribution is to propose a general strategy, called here chilling, which amounts to sampling a local approximation of the posterior distribution in the neighborhood of a point estimate.
Efficient Statistical Assessment of Neural Network Corruption Robustness
We quantify the robustness of a trained network to input uncertainties with a stochastic simulation inspired by the field of Statistical Reliability Engineering.
Hybrid Monte Carlo methods for sampling probability measures on submanifolds
In order to avoid biases in the invariant probability measures sampled by discretizations of these stochastically perturbed Hamiltonian dynamics, a Metropolis rejection procedure can be considered.
Numerical Analysis Numerical Analysis 65P10, 65C40, 82-08
