Publications

Machine Learning

Leveraging Graph Neural Networks to Forecast Electricity Consumption

Accurate electricity demand forecasting is essential for several reasons, especially as the integration of renewable energy sources and the transition to a decentralized network paradigm introduce greater complexity and uncertainty. The proposed…

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024 - 2024

Signal and Image processing

A Brief Evaluation of InSAR Phase Denoising and Coherence Estimation with Phi-Net

In this article, we examine the joint InSAR phase denoising and coherence estimation performance of the network known as Phi-Net [Sica et al., IEEE Transactions on Geoscience and Remote Sensing, 2021]. We briefly examine the method, network…

Roland Akiki, Jérémy Anger, Carlo de Franchis, Gabriele Facciolo, Raphaël Grandin, Jean-Michel Morel

Image Processing On Line - 2024

Statistics

Positional Learning to reverse-engineer the camera processing pipeline and detect image forgeries

As conventional tools and generative-AI-based methods alike can alter images in visually convincing ways, image editing is no longer reserved to experts. However, this ease of manipulation has given rise to malicious manipulation of images,…

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

International Conference on Computational Photography - 2024

Networking and Internet Architecture

Alvolution - al and digital technologies in the European Union

This document compiles the extended versions of the main contributions presented in the scientific event 'AIvolution', on AI and digital technologies in the EU, organized by MEP Eva-Maria Poptcheva (Renew Europe) and Juan-Antonio Cordero-Fuertes (IP…

Eva Poptcheva, Bram Vanderborght, Miguel Colom, Rūta Binkytė, Oana Balalau, Oana Goga, Hervé Debar, Marceau Coupechoux, Juan Herrera

Juan-Antonio Cordero-Fuertes - 2024

Biological Physics

Monitoring the ribosome dynamics at the single molecule level

Baptiste Bouhet, Sandra Blanchet, Charlène Valadon, Charles Truong, François Marquier, Olivier Namy, Karen Perronet

Physics and Biological Systems 2024 - 2024

Life Sciences

Method to Quickly Map Multifocal Pupillary Response Fields (mPRF) Using Frequency Tagging

We present a method for mapping multifocal Pupillary Response Fields in a short amount of time using a visual stimulus covering 40° of the visual angle divided into nine contiguous sectors simultaneously modulated in luminance at specific,…

Jean Lorenceau, Suzon Ajasse, Raphael Barbet, Muriel Boucart, Frédéric Chavane, Cédric Lamirel, Richard Legras, Frédéric Matonti, Maxence Rateaux, Jean-Francois Rouland, José-Alain Sahel, Laure Trinquet, Mark Wexler, Catherine Vignal-Clermont

Vision - 2024

Neurons and Cognition

Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts

Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population. IHI can be visually assessed on coronal slices of T1 weighted MR…

Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin de Matos, Camille Brianceau, Matthieu Joulot, Tobias Banaschewski, Arun L W Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos, Herve Lemaitre, Tomas Paus, Luise Poustka, Sarah Hohman, Nathalie Holz, Juliane H. Fröhner, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Christian Büchel, Jean-Baptiste Poline, Bernd Itterman, Vincent Frouin, Alexandre Martin, Claire Cury, Olivier Colliot

Journal of Machine Learning for Biomedical Imaging - 2024

Physics

On the measurement of the dispersion relation by a radar and the implication on the current retrieval

The work analyses the error in current retrievals from images of marine radars. The study is based on simulations of waves interacting with a shear current. The measured dispersion is related to the underlying wavenumber-dependent effective current…

Susanne Støle-Hentschel, Benjamin Keeler Smeltzer, Yaron Toledo

IEEE Transactions on Geoscience and Remote Sensing - 2024

Probability

LIPO+: Frugal Global Optimization for Lipschitz Functions

In this paper, we propose simple yet effective empirical improvements to the algorithms of the LIPO family, introduced in [Malherbe2017], that we call LIPO+ and AdaLIPO+. We compare our methods to the vanilla versions of the algorithms over standard…

Gaëtan Serré, Perceval Beja-Battais, Sophia Chirrane, Argyris Kalogeratos, Nicolas Vayatis

Physics

Non-intrusive reduced order models for partitioned fluid–structure interactions

The main goal of this work is to develop a data-driven Reduced Order Model (ROM) strategy from high-fidelity simulation result data of a Full Order Model (FOM). The goal is to predict at lower computational cost the time evolution of solutions of…

Tiba Azzeddine, Thibault Dairay, Florian de Vuyst, Iraj Mortazavi, Juan-Pedro Berro Ramirez

Journal of Fluids and Structures - 2024