Variational Regularization

Variational Regularization is a mathematical framework within variational optimization that introduces auxiliary constraints or penalty functionals into an objective functional to ensure well-posedness, stability, and convergence of solutions in ill-posed or high-dimensional inference problems.

488

Publications

25.6K

Citations

1.1K

Authors

550

Institutions

Publications per year

2017–2026

164

Authors

1.1K

  1. CS
    Carola‐Bibiane Schönlieb

    University of Cambridge, United Kingdom

    11 publications · 554 citations

    11

    h-index

  2. MB
    Martin Burger

    University of Münster, Germany

    12 publications · 2.5K citations

    11

    h-index

  3. MU
    Michaël Unser

    École Polytechnique Fédérale de Lausanne, Switzerland

    10 publications · 717 citations

    10

    h-index

  4. SO
    Stanley Osher

    University of California, Los Angeles, United States

    8 publications · 3.3K citations

    8

    h-index

  5. GP
    Gabriel Peyré

    Centre de Recherche en Mathématiques de la Décision, France

    7 publications · 848 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. Inverse Problems

    35 publications · 1.6K citations

    23

    h-index

  2. SIAM Journal on Imaging Sciences

    SIIMS · 25 publications · 1.8K citations

    21

    h-index

  3. IEEE Transactions on Image Processing

    22 publications · 1.8K citations

    19

    h-index

  4. arXiv (Cornell University)

    Repository · 20 publications · 967 citations

    14

    h-index

  5. Journal of Mathematical Imaging and Vision

    13 publications · 416 citations

    12

    h-index

1–5