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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

License

DOI (Digital Object Identifier)

10.14760/SNAP-2019-015-EN

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PDF

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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