Publications

Machine Learning

Transfer Learning methods for temporal data

In this work, we propose novel transfer learning methods for time series analysis. Motivated by applications in household electricity consumption disaggregation (NILM) and industrial monitoring, we investigate traditional tools and show the need for…

Guillaume Richard

Modeling and Simulation

Extension of generic two-fluid VOF advection schemes to an arbitrary number of components

We propose a new and simple method to extend any two-fluid dimensionally split VOF schemes on Cartesian meshes to N-fluid problems in 2D and 3D. The method is symmetric by permutation of the fluids, so that it is independent of the ordering of…

Matthieu Ancellin, Bruno Després, Stéphane Jaouen

Life Sciences

Cholinesterases in Tripartite Neuromuscular Synapse

The neuromuscular junction (NMJ) is a tripartite synapse in which not only presynaptic and post-synaptic cells participate in synaptic transmission, but also terminal Schwann cells (TSC). Acetylcholine (ACh) is the neurotransmitter that mediates the…

Konstantin Petrov, Svetlana Proskurina, Eric Krejci

Frontiers in Molecular Neuroscience - 2021

General Topology

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

This paper presents the computational challenge on differential geometry and topology that happened within the ICLR 2021 workshop "Geometric and Topological Representation Learning". The competition asked participants to provide creative…

Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Černý, Martin Bauw, Santiago Velasco-Forero, Jesus Angulo, Yanan Long

Quantitative Methods

Identification of the Primary Factors Determining the Specificity of the human VKORC1 Recognition by Thioredoxin-fold Proteins

Redox (reduction-oxidation) reactions control many important biological processes in all organisms, both prokaryotes and eukaryotes. This reaction is usually accomplished by canonical disulfide-based pathways involving a donor enzyme that reduces…

Maxim Stolyarchuk, Julie Ledoux, Elodie Maignant, Alain Trouvé, Luba Tchertanov

International Journal of Molecular Sciences - 2021

Optimization and Control

Irregular Layout For A Satellite's Interferometric Array

We address the optimization problem of antenna placement on satellite-mounted interferometric synthetic-aperture instruments. In classic designs, the antennas on satellites are aligned regularly on the satellite’s frame. Inspired by methods proposed…

Paul Krzakala, Amine Assouel, Max Dunitz, Eric Anterrieu, François Cabot, Ali Khazaal, Nemesio Rodriguez-Fernandez, Bernard Rouge, Jean-Michel Morel, Yann Kerr, Miguel Colom

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - 2021

Pattern Formation and Solitons

The Peregrine Breather on the Zero-Background Limit as the Two-Soliton Degenerate Solution: An Experimental Study

Solitons are coherent structures that describe the nonlinear evolution of wave localizations in hydrodynamics, optics, plasma and Bose-Einstein condensates. While the Peregrine breather is known to amplify a single localized perturbation of a…

Amin Chabchoub, Alexey Slunyaev, Norbert Hoffmann, Frederic Dias, Bertrand Kibler, Goëry Genty, John Dudley, Nail Akhmediev

Frontiers in Physics - 2021

Biomechanics

Modelling the Process of Fused Deposition Modelling and the Effect of Temperature on the Mechanical, Roughness, and Porosity Properties of Resulting Composite Products

Advances in the additive manufacturing (AM) processes have opened up the possibilities of widely using them in various structural sectors. Since 1980s this technology has been in permanent mutations. The ramification of the AM technology makes it…

K. Abouzaid, David Bassir, Sofiane Guessasma, H. Yue

Mechanics of Composite Materials - 2021

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