World's Best Scientists 2026 revealed!
Antonin Chambolle

Antonin Chambolle

D-Index & Metrics

Mathematics

D-Index
59
Citations
21572
World Ranking
577
National Ranking
26

Overview

Antonin Chambolle is affiliated with Paris Dauphine University in France. Their research primarily spans the fields of Mathematics, Computer Science, and Engineering, with significant contributions in applied mathematics and computational theory.

The scientist's main areas of study include:

  • Advanced Mathematical Modeling in Engineering
  • Nonlinear Partial Differential Equations
  • Geometric Analysis and Curvature Flows
  • Sparse and Compressive Sensing Techniques
  • Medical Image Segmentation Techniques
  • Image and Signal Denoising Methods
  • Numerical methods in inverse problems

The body of research includes publications in prestigious venues such as:

  • arXiv (Cornell University)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Journal of Mathematical Imaging and Vision
  • SIAM Journal on Mathematics of Data Science
  • Mathematische Annalen

Prominent recent publications from Antonin Chambolle are:

  • Compactness and Lower-Semicontinuity in GSBD, 2020, HAL (Le Centre pour la Communication Scientifique Directe)
  • Crouzeix-Raviart Approximation of the Total Variation on Simplicial Meshes, 2020, Journal of Mathematical Imaging and Vision
  • Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes, 2024, Journal of Mathematical Imaging and Vision

Other relevant co-authored works include publications such as Korn and Poincaré-Korn inequalities for functions with a small jump set, 2021, Mathematische Annalen, and The Saturn Ring Effect in Nematic Liquid Crystals with External Field: Effective Energy and Hysteresis, 2021, Archive for Rational Mechanics and Analysis.

Antonin Chambolle collaborates frequently with several researchers, including:

  • Thomas Pock
  • Vito Crismale
  • Matteo Novaga
  • Samuel Hurault
  • Arthur Leclaire

Best Publications

  • A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

    Antonin Chambolle;Thomas Pock

  • Image recovery via total variation minimization and related problems

    Antonin Chambolle;Pierre-Louis Lions

  • Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage

    A. Chambolle;R. A. De Vore;Nam-Yong Lee;B. J. Lucier

  • Practical, Unified, Motion and Missing Data Treatment in Degraded Video

    Antonin Chambolle

  • An introduction to Total Variation for Image Analysis

    Antonin Chambolle;Vicent Caselles;Matteo Novaga;Daniel Cremers

  • Diagonal preconditioning for first order primal-dual algorithms in convex optimization

    Thomas Pock;Antonin Chambolle

  • An introduction to continuous optimization for imaging

    Antonin Chambolle;Thomas Pock

  • On the Convergence of the Iterates of the Fast Iterative Shrinkage/Thresholding Algorithm

    A. Chambolle;Ch. Dossal

  • Image Decomposition into a Bounded Variation Component and an Oscillating Component

    Jean-François Aujol;Gilles Aubert;Laure Blanc-Féraud;Antonin Chambolle

  • Design-dependent loads in topology optimization

    Blaise Bourdin;Antonin Chambolle

  • Dual Norms and Image Decomposition Models

    Jean-François Aujol;Antonin Chambolle

  • An algorithm for minimizing the Mumford-Shah functional

    Thomas Pock;Daniel Cremers;Horst Bischof;Antonin Chambolle

  • On the ergodic convergence rates of a first-order primal---dual algorithm

    Antonin Chambolle;Thomas Pock

  • Total variation minimization and a class of binary MRF models

    Antonin Chambolle

  • A convex relaxation approach for computing minimal partitions

    Thomas Pock;Antonin Chambolle;Daniel Cremers;Horst Bischof

  • Image segmentation by variational methods: Mumford and Shah functional and the discrete approximations

    Antonin Chambolle

  • Existence of Weak Solutions for the Unsteady Interaction of a Viscous Fluid with an Elastic Plate

    Antonin Chambolle;Benoît Desjardins;Maria J. Esteban;Céline Grandmont

  • On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows

    Antonin Chambolle;Jérôme Darbon

  • A l1-Unified Variational Framework for Image Restoration

    Julien Bect;Laure Blanc-Féraud;Gilles Aubert;Antonin Chambolle

  • An approximation result for special functions with bounded deformation

    Antonin Chambolle

Frequent Co-Authors

Matteo Novaga
Matteo Novaga University of Pisa
Thomas Pock
Thomas Pock Graz University of Technology
Vicent Caselles
Vicent Caselles University of Valencia
Daniel Cremers
Daniel Cremers Technical University of Munich
Peter Richtárik
Peter Richtárik King Abdullah University of Science and Technology
Gabriel Peyré
Gabriel Peyré École Normale Supérieure
Jean-François Aujol
Jean-François Aujol University of Bordeaux
Sergio Conti
Sergio Conti University of Bonn
Gilles Aubert
Gilles Aubert Université Côte d'Azur
Horst Bischof
Horst Bischof Graz University of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can open diverse career opportunities. A masters in digital marketing combines analytical skills with business strategies, making it a valuable option for mathematically inclined individuals interested in marketing analytics.

Many professionals also consider business-focused degrees to complement their technical skills. Notably, 1 year mba programs offer a fast-track way to gain leadership expertise without a lengthy commitment, ideal for those looking to shift into managerial roles quickly.

Flexibility is another key factor for online students. Programs like the transfer credits for online mba programs allow students to leverage previous coursework, reducing time and cost to degree completion.

For a deeply technical path, pursuing a master in data analytics can build on a mathematics foundation and prepare graduates for high-demand roles in data science, business intelligence, and predictive modeling.

Best Scientists Citing Antonin Chambolle

Trending Scientists

Recently Published Articles