Showing 1–20 of 21 results
/ Date/ Name
Mar 6, 2024Uncertainty quantification for deeponets with ensemble kalman inversionFeb 27, 2026Robust Parameter and State Estimation in Multiscale Neuronal Systems Using Physics-Informed Neural NetworksMar 8, 2024LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on CurvesApr 7, 2020Nonnegativity-Enforced Gaussian Process RegressionJan 24, 2019An Efficient Solver for Cumulative Density Function-based Solutions of Uncertain Kinematic Wave ModelsDec 7, 2018When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity MethodFeb 1, 2019Bifidelity data-assisted neural networks in nonintrusive reduced-order modelingFeb 20, 2022Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equationsJun 25, 2022Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spreadJul 23, 2024Asymptotic-preserving neural networks for the semiconductor Boltzmann equation and its application on inverse problemsMar 23, 2022Bayesian Physics-Informed Neural Networks for the Subsurface Tomography based on the Eikonal EquationMay 22, 2019A bi-fidelity method for the multiscale Boltzmann equation with random parametersNov 17, 2025A Bi-fidelity based asymptotic-preserving neural network for the semiconductor Boltzmann equation and its inverse problemJul 3, 2023A non-intrusive bi-fidelity reduced basis method for time-independent problemsMay 13, 2025Uncertainty-aware Frequency-domain Acoustic Full Waveform Inversion Using Gaussian Random Fields and Ensemble Kalman InversionJul 20, 2021A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputsOct 27, 2021Bi-fidelity stochastic collocation methods for epidemic transport models with uncertaintiesMar 13, 2023Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman InversionJun 9, 2023Forward and inverse problems for Eikonal equation based on DeepONetAug 23, 2019A Bi-fidelity Surrogate Modeling Approach for Uncertainty Propagation in Three-Dimensional Hemodynamic Simulations