 GANs and Closures: Micro-Macro Consistency in Multiscale ModelingMultiscale Modeling & simulation (MMS), 2022 |
 Probabilistic learning constrained by realizations using a weak
formulation of Fourier transform of probability measuresComputational statistics (Zeitschrift) (CSZ), 2022 |
 Probabilistic learning inference of boundary value problem with
uncertainties based on Kullback-Leibler divergence under implicit constraintsComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 |
 Probabilistic learning on manifolds constrained by nonlinear partial
differential equations for small datasetsComputer Methods in Applied Mechanics and Engineering (CMAME), 2020 |
 Normal-bundle BootstrapSIAM Journal on Mathematics of Data Science (SIMODS), 2020 |
 Sampling of Bayesian posteriors with a non-Gaussian probabilistic
learning on manifolds from a small datasetStatistics and computing (Stat. Comput.), 2019 |
