Flexibility and Rigidity of Isometric Embeddings

Theory of Deep Learning 4: Training Neural Networks in the Lazy and Mean Field Regimes

On Compensated Compactness and Hardy Spaces

Theory of Deep Learning 3: Neural Tangent Kernel: Convergence and Generalization of Deep Neural Networks

Multilevel Uncertainty Quantification with Sample-Adaptive Model Hierarchies

On (Hilbert, Isabelle) and universal pairs

The Dirichlet Problem for the Logarithmic Laplacian

Theory of Deep Learning 2: Over-parametrization in neural networks: an overview and a definition

Bogoliubov Theory in the Gross-Pitaevskii Limit