Approximation Theory
Learning Theory
Neural Networks
Compressive Sensing
Optimal Recovery
Optimization
Inverse Problems
Data Assimilation
Applications (metagenomics,...)
Contemporary Optimal Recovery
Neural Network Approximation
Learning in Data-Poor Conditions
Deep Learning Methods for Parametric PDEs
Approximation Theory for Gaussian Process Models