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Robust learning with implicit residual networks
Solution verification and multifidelity UQ in chaotic and stochastic systems
Globally Injective Deep Neural Networks
A proof that Anderson acceleration increases the convergence rate in linearly converging fixed point methods (but not in quadratically converging ones)
Solution Costs of Isogeometric Analysis
Connecting Theory to Experiment for Chemical Mechanisms and Chemical Kinetics. Release of the newly developed CheKiPEUQ software for Bayesian Parameter Estimation
Scalable Low Rank Approximation and Graph Algorithms
Symbolic code generation for solving PDEs on block structured adaptive mesh refinement hierarchies with applications to black hole mergers
Evolution of the Peridynamics Collaboration Network
Phase-field models for predicting microstructure evolution: Numerical methods, applications to metal alloys and electrochemical systems, and future directions
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