URL: https://www.aimsciences.org/journal/A0000-0002/2020/2/3

Data-driven evolutions of critical points
Stefano Almi, Massimo Fornasier and Richard Huber 

Spectral methods to study the robustness of residual neural networks with infinite layers
Torsten Trimborn, Stephan Gerster and Giuseppe Visconti 

Probabilistic learning on manifolds
Christian Soize and Roger Ghanem 

Adaptive random Fourier features with Metropolis sampling
Aku Kammonen, Jonas Kiessling, Petr Plechá?, Mattias Sandberg and Anders Szepessy 

Posterior contraction rates for non-parametric state and drift estimation
Sebastian Reich and Paul J. Rozdeba