Publications

Life Sciences

Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse

Prompted by recent evidence of neural circuitry in rodent models, functional magnetic resonance imaging and functional connectivity analyses were conducted for a large adolescent population at two ages, together with alcohol abuse measures, to…

Tianye Jia, Chao Xie, Tobias Banaschewski, Gareth Barker, Arun Bokde, Christian Büchel, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Trevor Robbins, Jianfeng Feng

Science Advances - 2021

Statistics

Détection d'événements et inférence de structure pour des vecteurs sur graphes

This thesis addresses different problems around the analysis and the modeling of graph signals i.e. vector data that are observed over graphs. In particular, we are interested in two tasks. The rst one is the problem of event detection, i.e. anomaly…

Batiste Le Bars

Statistics

Sequential Resource Allocation for network diffusion control

The dynamic containment of an undesired network diffusion process, such as an epidemic, requires a decision maker (DM) to be able to respond to its evo- lution by taking the right control actions at the right moments. This task can be seen as…

Mathilde Fekom

Signal and Image processing

Localized Interpolation for Graph Signals

Antoine Mazarguil, Laurent Oudre, Nicolas Vayatis

2020 28th European Signal Processing Conference (EUSIPCO) - 2021

General Mathematics

Gestion du compromis entre la performance et la précision de code de calcul

Floating-point numbers represent only a subset of real numbers. As such, floating-point arithmetic introduces approximations that can compound and have a significant impact on numerical simulations.We introduce a new way to estimate and localize the…

Nestor Demeure

Discrete Mathematics

Self-supervised training for blind multi-frame video denoising

We propose a self-supervised approach for training multi-frame video denoising networks. These networks predict each frame from a stack of frames around it. Our selfsupervised approach benefits from the temporal consistency in the video by…

Valéry Dewil, Jérémy Anger, Axel Davy, Thibaud Ehret, Gabriele Facciolo, Pablo Arias

WACV 2021 - Winter Conference on Applications of Computer Vision - 2021

Engineering Sciences

VIV modelled using simplified cable dynamics coupled to sub-critical cylinder flow simulations in a moving reference frame

Lei Zhang, John Redford, Fikri Hafid, Jean-Michel Ghidaglia, Maxime Gueguin

European Journal of Mechanics - B/Fluids - 2021

Signal and Image processing

Les traces de compression pour détecter les photomontages

Les réseaux sociaux, comme Facebook, Twitter, Instagram, WhatsApp et tant d'autres, permettent de partager des images massivement et rapidement. Ces images sont parfois utilisées en tant que « preuve » pour accompagner une information. Mais alors…

Tina Nikoukhah

Interstices - 2021

Statistics

Bayesian Feature Discovery for Predictive Maintenance

This paper considers predictive maintenance, which is the task of predicting rare and anomalous events (typically, system failures) using event logs data, which are series of timestamped symbolic codes emitted at regular or irregular intervals by a…

Amir Dib, Charles Truong, Laurent Oudre, Mathilde Mougeot, Nicolas Vayatis, Heloïse Nonne

Geriatry and gerontology

Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning

Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios, Pierre-Paul Vidal, Damien Ricard, Nicolas Vayatis

PLoS ONE - 2021