Publications

General Physics

Combining phase-space and time-dependent reduced density matrix approach to describe the dynamics of interacting fermions

The possibility to apply phase-space methods to many-body interacting systems might provide accurate descriptions of correlations with a reduced numerical cost. For instance, the so-called stochastic mean-field phase-space approach, where the…

Thomas Czuba, Denis Lacroix, David Regnier, Ibrahim Ulgen, Bulent Yilmaz

The European physical journal. A, Hadrons and Nuclei - 2020

Optimization and Control

Convergence Analysis of Riemannian Stochastic Approximation Schemes

This paper analyzes the convergence for a large class of Riemannian stochastic approximation (SA) schemes, which aim at tackling stochastic optimization problems. In particular, the recursions we study use either the exponential map of the…

Alain Durmus, Pablo Jiménez, Eric Moulines, Salem Said, Hoi-To Wai

Probability

Mean Geometry for 2D random fields: level perimeter and level total curvature integrals

We introduce the level perimeter integral and the total curvature integral associated with areal valued function f defined on the plane R^2 as integrals allowing to compute the perimeter of the excursion set of f above level t and the total (signed)…

Hermine Biermé, Agnès Desolneux

The Annals of Applied Probability - 2020

Optimization and Control

A Wasserstein-type distance in the space of Gaussian Mixture Models

In this paper we introduce a Wasserstein-type distance on the set of Gaussian mixture models. This distance is defined by restricting the set of possible coupling measures in the optimal transport problem to Gaussian mixture models. We derive a very…

Julie Delon, Agnès Desolneux

SIAM Journal on Imaging Sciences - 2020

Modeling and Simulation

A Daily Measure of the SARS-CoV-2 Effective Reproduction Number for all Countries

Tahar Zamene Boulmezaoud, Luis Álvarez, Miguel Colom, Jean-Michel Morel

Image Processing On Line - 2020

Oceanography

A new L-band passive radiometer for earth observation : SMOS-high resolution (SMOS-HR)

The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) has been providing the longest consistent data record of passive L-band (1.4 GHz) observations for more than ten years. SMOS, as well as the NASA missions SMAP and Aquarius have…

N.J. Rodriguez-Fernandez, Eric Anterrieu, F. Cabot, Jacqueline Boutin, Ghislain Picard, T. Pellarin, O. Merlin, Jérôme Vialard, Frédéric Vivier, J. Costeraste, B. Palacin, R. Rodriguez-Suquet, T. Amiot, A. Khaazal, B. Rouge, J.M. Morel, Miguel Colom, T. Decoopman, N. Jeannin, R. Caujolle, M.J. Escorihuela, A. Al Bitar, P. Richaume, Arnaud Mialon, C. Suere, Yann H. Kerr

IGARRS.International Geoscience and Remote Sensing Symposium - 2020

Software Engineering

Scholarly Infrastructures for Research Software

The TF on Scholarly Infrastructures of Research Software, as part of the Architecture WG of the European Open Science Cloud (EOSC) Executive Board, has established a set of recommendations to allow EOSC to include software, next to other research…

Roberto Di Cosmo, Jose Benito Gonzalez Lopez, Jean-François Abramatic, Kay Graf, Miguel Colom, Paolo Manghi, Melissa Harrison, Yannick Barborini, Ville Tenhunen, Michael Wagner, Wolfgang Dalitz, Jason Maassen, Carlos Martínez Ortiz, Elisabetta Ronchieri, Sam Yates, Moritz Schubotz, Leonardo Candela, Martin Fenner, Eric Jeangirard

Image Processing

Local JPEG Grid Detector via Blocking Artifacts, a Forgery Detection Tool

Image JPEG compression leaves blocking artifact traces. This paper describes an algorithm that exploits those traces to locally recover the grid embedded in the image by the JPEG compression. The algorithm returns a list of grids associated with…

Tina Nikoukhah, Miguel Colom, Jean-Michel Morel, Rafael Grompone von Gioi

Image Processing On Line - 2020

Statistics

An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics

Automatically finding suspicious regions in a potentially forged image by splicing, inpainting or copy-move remains a widely open problem. Blind detection neural networks trained on benchmark data are flourishing. Yet, these methods do not provide…

Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - 2020

Ethics

Conséquences éthiques et sociales de biomarqueurs prédictifs de la mort chez l’homme

Fundamental research on ageing has taken an interesting turn in recent years with the rapid development of biomarkers predicting mortality in model organisms, particularly Drosophila, as well as in humans through improvements in approaches to the…

Marie Gaille, Marco Araneda, Clément Dubost, Clémence Guillermain, Sarah Kaakai, Élise Ricadat, Nicolas Todd, Michael Rera

Médecine/Sciences - 2020