Showing 21–38 of 38 results
/ Date/ Name
Jan 23, 2024On enforcing non-negativity in polynomial approximations in high dimensionsMay 24, 2019Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory DataJan 23, 2020On generalized residue network for deep learning of unknown dynamical systemsJan 16, 2016A stochastic Galerkin method for general system of quasilinear hyperbolic conservation laws with uncertaintyApr 14, 2025DUE: A Deep Learning Framework and Library for Modeling Unknown EquationsMar 20, 2020Learning reduced systems via deep neural networks with memoryMar 5, 2020Methods to Recover Unknown Processes in Partial Differential Equations Using DataJun 7, 2021Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal SpaceFeb 3, 2022Modeling unknown dynamical systems with hidden parametersMay 12, 2022Deep Learning of Chaotic Systems from Partially-Observed DataSep 24, 2018Numerical Aspects for Approximating Governing Equations Using DataOct 15, 2019Deep learning of parameterized equations with applications to uncertainty quantificationApr 10, 2024Unraveling Consumer Purchase Journey Using Neural Network ModelsMay 5, 2023Learning Stochastic Dynamical System via Flow Map OperatorAug 27, 2024Data-driven Effective Modeling of Multiscale Stochastic Dynamical SystemsJul 19, 2024Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference ProblemsOct 8, 2025Targeted Digital Twin via Flow Map Learning and Its Application to Fluid DynamicsJul 31, 2025Likelihood-free Posterior Density Learning for Uncertainty Quantification in Inference Problems