Year: 2020
CAM-Net Digest, Vol. 17 (2020), Iss. 21 : p. 7
Abstract
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
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Journal Article Details
Publisher Name: Global Science Press
Language: Chinese
DOI: https://doi.org/2021-CAM-19804
CAM-Net Digest, Vol. 17 (2020), Iss. 21 : p. 7
Published online: 2020-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 1