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A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization and Reinforcement Learning
CANCELED: The Universe in a Computer: How Mathematical and Numerical Methods are Essential
A Domain Decomposition Model Reduction Method for Linear Convection-Diffusion Equations with Random Coefficients
Adaptive construction of neural networks using nonconvex penalization
A machine-learning checkpoint/restart algorithm for particle-in-cell simulations.
Finite element methods for nonlinear, dispersive equations
Maths opportunities in first-principles Quantum Monte Carlo and QMCPACK
Model Reduction for High-dimensional Stochastic Non-linear Dynamical Systems: The Devil in the Details
A VEF HOLO Radiation-Hydrodynamics Method with Independent Discretizations for the Sn and Low-order Moment Equations
Extending Error Inhibiting Schemes with post processing to Implicit-Explicit and Two derivative schemes
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