Showing 1–15 of 15 results
/ Date/ Name
Aug 28, 2019A multi-fidelity neural network surrogate sampling method for uncertainty quantificationApr 4, 2006Finite difference schemes for second order systems describing black holesOct 13, 2015A Fuzzy-Stochastic Multiscale Model for Fiber Composites: A one-dimensional studyJul 21, 2018Wasserstein metric-driven Bayesian inversion with applications to signal processingJul 19, 2022Approximation Power of Deep Neural Networks: an explanatory mathematical surveyApr 27, 2020Hierarchical Low-Rank Approximation of Regularized Wasserstein DistanceJun 2, 2017Fuzzy-Stochastic Partial Differential EquationsAug 24, 2023Non-degenerate Marginal-Likelihood Calibration with Application to Quantum CharacterizationFeb 27, 2015Fast Bayesian Optimal Experimental Design for Seismic Source InversionJul 20, 2015A Sparse Stochastic Collocation Technique for High-Frequency Wave Propagation with UncertaintyJul 16, 2024Deep Learning without Global Optimization by Random Fourier Neural NetworksOct 5, 2023Residual Multi-Fidelity Neural Network ComputingAug 24, 2009Taylor Expansion and Discretization Errors in Gaussian Beam SuperpositionMay 10, 2024Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function SpacesJun 23, 2023Deterministic and Bayesian Characterization of Quantum Computing Devices