Publications

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

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

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

Plasmas

Stability of ablation flows in inertial confinement fusion: non-modal effects

Fast transient growth of hydrodynamic perturbations due to non-modal effects is shown to be possible in an ablation flow relevant to inertial confinement fusion (ICF). Likely to arise in capsule ablators with material inhomogeneities, such growths…

G Varillon, J.-M Clarisse, A. Couairon

Physical Review E - 2021

Psychiatrics and mental health

Irregular sleep habits, regional grey matter volumes, and psychological functioning in adolescents

Changing sleep rhythms in adolescents often lead to sleep deficits and a delay in sleep timing between weekdays and weekends. The adolescent brain, and in particular the rapidly developing structures involved in emotional control, are vulnerable to…

Winok Lapidaire, Anna Urrila, Eric Artiges, Ruben Miranda, Hélène Vulser, Pauline Bézivin-Frere, Hervé Lemaitre, Jani Penttilä, Tobias Banaschewski, Arun Bokde, Uli Bromberg, Christian Büchel, Patricia Conrod, Sylvane Desrivières, Vincent Frouin, Jürgen Gallinat, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Dimitri Papadopoulos-Orfanos, Tomáš Paus, Michael Smolka, Gunter Schumann, Marie-Laure Paillère Martinot, Jean-Luc Martinot

PLoS ONE - 2021

Life Sciences

A Langevin-Based Model with Moving Posturographic Target to Quantify Postural Control.

Falls are a major concern of public health, particularly for older adults, as the consequences of falls include serious injuries and death. Therefore, the understanding and evaluation of postural control is considered key, as its deterioration is an…

Alice Nicolaï, Myrto Limnios, Alain Trouvé, Julien Audiffren

IEEE Transactions on Neural Systems and Rehabilitation Engineering - 2021