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Data Analytics and Machine Learning
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Robust learning with implicit networks
Feature-driven exemplar-based nonlocal image inpainting
Numerical methods for PDEs in random domains
Numerical integration of stiff stochastic chemical systems
Monte Carlo Methods for UQ: A Survey
A data-driven approach to study the thermodynamics of high entropy alloys
Uncertainty quantification with copula dependence modeling
IGSA: Imprecise global sensitivity analysis
Probabilistic modeling of composite materials with sparse data
Non-intrusive inference reduced order model for fluids using deep multistep neural network
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems
A sparse-grid probabilistic scheme for approximation of the runaway probability of electrons in fusion tokamak simulation
A backward Monte-Carlo method for time-dependent runaway electron simulations
A stochastic approximate gradient ascent method for Bayesian experimental design with implicit models
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient
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