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Big Data Stream Analytics and Online Metric Learning
Dynamic Mode Decompositions for Control Affine Systems
Introduction to Three Dimensional Monte Carlo Neutron Transport
Applications of Anderson Acceleration to Algorithms for Newtonian and Non-Newtonian Fluid Simulation
Stable Anderson acceleration for Deep Learning
Solving Design and Control Problems Involving Neural Network Surrogates
An Augmented Lagrangian Method For Nonconvex Optimization Problems with Conically-Convex Constraints
A Discontinuous Galerkin Method for the Micro-Macro Formulation of the Vlasov-Poisson-Lenard-Bernstein System
Machine Learning of Collective Behaviors from Observation
Multiscale Modeling from Atomistic Approaches with Machine Learning and Advanced Sampling
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