Deep Learning and Inverse Problems

Snapshots of modern mathematics from Oberwolfach

Deep Learning and Inverse Problems

Big data and deep learning are modern buzz words which presently infiltrate all fields of science and technology. These new concepts are impressive in terms of the stunning results they achieve for a large variety of applications. However, the theoretical justification for their success is still very limited. In this snapshot, we highlight some of the very recent mathematical results that are the beginnings of a solid theoretical foundation for the subject.

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Mathematical subjects

Analysis
Numerics and Scientific Computing

Connections to other fields

Computer Science
Life Science

Author(s)

Simon Arridge, Maarten de Hoop, Peter Maass, Ozan Öktem, Carola Schönlie, Michael Unser
Senior Editor:
Sophia Jahns

License

DOI (Digital Object Identifier)

10.14760/SNAP-2019-015-EN

snapshots: overview

Mathematical subjects

Algebra and Number Theory
Analysis
Didactics and Education
Discrete Mathematics and Foundations
Geometry and Topology
Numerics and Scientific Computing
Probability Theory and Statistics

Connections to other fields

Chemistry and Earth Science
Computer Science
Engineering and Technology
Finance
Humanities and Social Sciences
Life Science
Physics
Reflections on Mathematics

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