34 citations · 34 across the 3 of their papers we have counts for
4 papers
Derivative-Informed Dimension Reduction of Stochastic Differential Equations: A Path-Space Sensitivity Approach
Joanna Zou, Han Cheng Lie, Youssef Marzouk
Uncertainty in the drift of a stochastic differential equation (SDE) induces uncertainty in statistical observables defined as expected functionals on path space. We propose a deri…
Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials
Joanna Zou, Fraser Birks, Dallas Foster +1
Machine learning interatomic potentials (MLIPs) enable efficient and accurate atomistic simulations but depend critically on the quality and diversity of the training data. We intr…
Goal-oriented learning of stochastic differential equations using error bounds on path-space observables
Joanna Zou, Han Cheng Lie, Youssef Marzouk
Stochastic differential equations (SDEs), which serve as the governing equations for dynamical systems in a broad range of applications, can become cost-prohibitive for numerical s…
Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models
Joanna Zou, Eliz-Mari Lourens, Alice Cicirello
Virtual sensing techniques have gained traction in applications to the structural health monitoring of monopile-based offshore wind turbines, as the strain response below the mudli…