Deep Learning for Trivial Inverse Problems

DOI10.1007/978-3-319-73074-5_6zbMath1496.68287OpenAlexW2968528838MaRDI QIDQ3296181

Peter Maass

Publication date: 7 July 2020

Published in: Applied and Numerical Harmonic Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-73074-5_6

zbMATH Keywords

inverse problemsnetwork designmathematical reasoningfeedforward networks

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items

On the randomised stability constant for inverse problems ⋮ A machine learning approach to optimal Tikhonov regularization I: Affine manifolds ⋮ Data driven regularization by projection ⋮ Regularization by architecture: a deep prior approach for inverse problems ⋮ Solving inverse problems using data-driven models

Uses Software

• TwIST

Cites Work

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