Jean-Luc Starck

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with François Lanusse

> Home > Persons > Jean-Luc Starck

Publications

2022
[i30]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2201-05561
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2201-05561
Benjamin Remy, François Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback:
Probabilistic Mass Mapping with Neural Score Estimation. CoRR abs/2201.05561 (2022)
[i28]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2207-05509
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2207-05509
Denise Lanzieri, François Lanusse, Jean-Luc Starck:
Hybrid Physical-Neural ODEs for Fast N-body Simulations. CoRR abs/2207.05509 (2022)
2020
[i18]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2011-08698
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2011-08698
Zaccharie Ramzi, Benjamin Remy, François Lanusse, Jean-Luc Starck, Philippe Ciuciu:
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems. CoRR abs/2011.08698 (2020)
2018
[c32]
- view
  authority control:
- export record
  dblp key:
  - conf/eusipco/ThemelisLJPSA18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eusipco/ThemelisLJPSA18
Konstantinos E. Themelis, François Lanusse, Niall Jeffrey, Austin Peel, Jean-Luc Starck, Filipe B. Abdalla:
Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology. EUSIPCO 2018: 376-379

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.