Publications

Optimization and Control

Unbalanced L1 optimal transport for vector valued measures and application to Full Waveform Inversion

Optimal transport has recently started to be successfully employed to define misfit or loss functions in inverse problems. However, it is a problem intrinsically defined for positive (probability) measures and therefore strategies are needed for its…

Gabriele Todeschi, Ludovic Métivier, Jean-Marie Mirebeau

Journal of Computational Physics - 2025

Other Statistics

Stein Boltzmann Sampling: A Variational Approach for Global Optimization

In this paper, we present a flow-based method for global optimization of continuous Sobolev functions, called Stein Boltzmann Sampling (SBS). SBS initializes uniformly a number of particles representing candidate solutions, then uses the Stein…

Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis

Signal and Image processing

Topological data analysis for time series

In this thesis, we develop new methods for time series analysis based on topological data analysis. This work is motivated by the study of physiological signals. These signals usually have a certain structure that can be studied using tools such as…

Alexandre Bois

Analytical chemistry

An Electrolyte-Gated Transistor combined with CRISPR/Cas13a for RNA detection

Ribonucleic acids (RNA) detection is a crucial step in the identification of viral or bacterial infections in humans and animals. To date, reverse transcriptase-polymerase chain reaction (RT-PCR) remains the gold standard, but it is based on an…

Benoît Piro, Pierre Guermonprez, Louis Renaud, Pierre Nioche, Eric Krejci, Aurelie Alleaume-Butaux, Nicolas Battaglini, Sébastien Sanaur

MADICA 2024 - 2024

Computer Vision and Pattern Recognition

A generic method for detecting anomalies on manufactured parts

This thesis investigates learning-based methods for industrial optical quality control. It provides autonomous solutions that do not require a computer vision expert to adapt to a new object. In the first part, we add an image normalization first…

Aitor Artola

Mathematics

Leveraging domain adaptation methods for federated learning applied to 2D mammography image classification

Breast cancer is the most commonly diagnosed cancer among women, with early detection significantly improving survival rates. X-ray imaging techniques are crucial in detecting, diagnosing, and monitoring breast cancer treatment. Deep Learning-based…

Gonzalo Iñaki Quintana

Analysis of PDEs

Development and assessment of physically informed learning methods : towards to multi-physical simulation in industrial contexts

Physics-informed deep learning approaches have gained huge attention in various engineering fields for the last few years thanks to the capability of incorporating physical knowledge, which is often represented using Partial Differential Equations …

Thi-Nguyen-Khoa Nguyen

Life Sciences

Unraveling robust brain-behavior links of depressive complaints through granular network models for understanding heterogeneity

René Freichel, Agatha Lenartowicz, Linda Douw, Johann Kruschwitz, Tobias Banaschewski, Gareth Barker, Arun L.W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Nathalie Holz, Christian Baeuchl, Michael Smolka, Nilakshi Vaidya, Robert Whelan, Vincent Frouin, Gunter Schumann, Henrik Walter, Tessa Blanken

Journal of Affective Disorders - 2024

Life Sciences

Gene-environment interactions in the influence of maternal education on adolescent neurodevelopment using ABCD study

Maternal education was strongly correlated with adolescent brain morphology, cognitive performances, and mental health. However, the molecular basis for the effects of maternal education on the structural neurodevelopment remains unknown. Here, we…

Runye Shi, Xiao Chang, Tobias Banaschewski, Gareth Barker, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Nathalie Holz, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Xiaolei Lin, Jianfeng Feng

Science Advances - 2024

Life Sciences

Investigating grey matter volumetric trajectories through the lifespan at the individual level

Abstract Adolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to limited large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages, and the…

Runye Shi, Shitong Xiang, Tianye Jia, Trevor Robbins, Jujiao Kang, Tobias Banaschewski, Gareth Barker, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Xiaolei Lin, Barbara Sahakian, Jianfeng Feng, Tianye Jia, Tobias Banaschewski, Gareth Barker, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Robert Whelan, Gunter Schumann

Nature Communications - 2024