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A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations
Recent Developments on Numerical Tensor Methods for High-dimensional PDEs
How Robust are Communities in Temporal Networks? A Comparative Analysis using Community Detection Algorithms
Privacy-preserving Data Sharing and Analytics
Security of Machine Learning in Cyber-Physical Systems
How Much Can One Learn a PDE From Its Solution Data?
Filtered Anderson acceleration for nonlinear PDEs
Sparse Online Variational Bayesian Inference
Learning Stochastic Parametric Differentiable Predictive Control Policies
Nonlinear Random Dynamical Systems on Networks: a Tutorial of Basic Theory
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