Explore the words cloud of the NORIA project. It provides you a very rough idea of what is the project "NORIA" about.
The following table provides information about the project.
Coordinator |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Organization address contact info |
Coordinator Country | France [FR] |
Total cost | 1˙996˙720 € |
EC max contribution | 1˙996˙720 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2016-COG |
Funding Scheme | ERC-COG |
Starting year | 2017 |
Duration (year-month-day) | from 2017-10-01 to 2022-09-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS | FR (PARIS) | coordinator | 1˙996˙720.00 |
Optimal Transport (OT) theory provides a powerful framework to manipulate probability distributions using simple and intuitive geometric principles. OT distances compare favorably to all other alternatives, notably Euclidean metrics or information divergences, whose outputs are particularly sensitive to changes in quantization and are not suitable to compare point clouds. Because of these and many more favorable properties, OT should be a standard tool in imaging sciences where probability distributions are routinely used. However, at this time, OT is but a confidential tool restricted to niche applications. OT is barely used because it is complex mathematically, which hinders its dissemination in more applied fields, and because it consumes substantial computational resources when used naively. NORIA will address these two bottlenecks and develop the next generation of theoretical, numerical and algorithmic advances to enable large-scale optimal transport computations in imag- ing sciences. The algorithms developed by NORIA will rely on several mathematical breakthroughs: highly parallelizable entropic regularization schemes, Bregman stochastic optimization and gradient flows for metric spaces. They will be implemented using fast optimization codes that will be interfaced through a high-level, easy to use, scripting language. These algorithms will have far reaching applications in imaging sciences and data science in a broad sense. In particular, they will be used in three flagship applications: color and material processing in computer graphics, texture analysis and synthesis in computer vision, and exploration of the visual cortex in neuroimaging. NORIA’s members are key players in the European mathematical school of optimal transport, which is very strong. NORIA is the unique opportunity to give a computational and practical embodiment to this wealth of theoretical knowledge.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
A. Genevay, L. Chizat, F. Bach, M. Cuturi, G. Peyré Sample Complexity of Sinkhorn divergences published pages: , ISSN: , DOI: |
Proc AISTATS2019 | 2019-08-05 |
2018 |
Jingwei Liang, Jalal Fadili, Gabriel Peyré Local linear convergence analysis of Primal–Dual splitting methods published pages: 821-853, ISSN: 0233-1934, DOI: 10.1080/02331934.2018.1426584 |
Optimization 67/6 | 2019-08-06 |
2018 |
Lénaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard An Interpolating Distance Between Optimal Transport and Fisher–Rao Metrics published pages: 1-44, ISSN: 1615-3375, DOI: 10.1007/s10208-016-9331-y |
Foundations of Computational Mathematics 18/1 | 2019-08-06 |
2019 |
C. Poon, N. Keriven, G. Peyré Support localization and the fisher metric for off-the-grid sparse regularization published pages: , ISSN: , DOI: |
Proc AISTATS 2019 | 2019-08-05 |
2018 |
Marco Cuturi, Gabriel Peyré Semidual Regularized Optimal Transport published pages: 941-965, ISSN: 0036-1445, DOI: 10.1137/18m1208654 |
SIAM Review 60/4 | 2019-08-06 |
2018 |
Lénaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard Unbalanced optimal transport: Dynamic and Kantorovich formulations published pages: 3090-3123, ISSN: 0022-1236, DOI: 10.1016/j.jfa.2018.03.008 |
Journal of Functional Analysis 274/11 | 2019-08-06 |
2018 |
Gabriel Peyré, Marco Cuturi Computational Optimal Transport published pages: 355-206, ISSN: 1935-8237, DOI: 10.1561/2200000073 |
Foundations and Trends® in Machine Learning 11/5-6 | 2019-08-05 |
2019 |
Clarice Poon, Gabriel Peyré MultiDimensional Sparse Super-Resolution published pages: 1-44, ISSN: 0036-1410, DOI: 10.1137/17m1147822 |
SIAM Journal on Mathematical Analysis 51/1 | 2019-08-05 |
2018 |
Jalal Fadili, Jérôme Malick, Gabriel Peyré Sensitivity Analysis for Mirror-Stratifiable Convex Functions published pages: 2975-3000, ISSN: 1052-6234, DOI: 10.1137/17m113825x |
SIAM Journal on Optimization 28/4 | 2019-08-06 |
2019 |
J. Fadili, G. Garrigos, J. Malick, G. Peyré Model Consistency for Learning with Mirror-Stratifiable Regularizers published pages: , ISSN: , DOI: |
Proc AISTATS2019 | 2019-08-05 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "NORIA" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "NORIA" are provided by the European Opendata Portal: CORDIS opendata.
A need for speed: mechanisms to coordinate protein synthesis and folding in metazoans
Read MoreJust because we can, should we? An anthropological perspective on the initiation of technology dependence to sustain a child’s life
Read MoreUnderstanding how mitochondria compete with Toxoplasma for nutrients to defend the host cell
Read More