Publications

Trading and Market Microstructure

Machine learning approaches for market manipulation detection insurveillance systems

This thesis explores the use of machine learning for detecting market manipulation, in collaboration with the French financial regulator (Autorité des Marchés Financiers). Detecting manipulation poses unique challenges, including noisy high…

Anne Zhao

Image Processing

Pushbroom Satellite Source Identification Using PRNU: A Sentinel-2 Application

In this work, we take a step toward robust source identification for pushbroom satellite detectors by addressing source detector attribution in satellite imagery using Photo-Response Non-Uniformity (PRNU). As natural camera-based methods do not…

Matthieu Serfaty, Marina Gardella, Quentin Bammey, Rafael Grompone von Gioi, Carlo de Franchis

14th International Workshop on Biometrics and Forensics - 2026

Optimization and Control

GLOBe: A Modular Global Optimization library

Open-source libraries are have a catalytic role in research pipelines, where new methods must be compared against up-to-date baselines. We present the GLobal Optimization Benchmark (GLOBe) modular Python library that unifies classical and recent…

Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis

Machine Learning

Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors

Bayesian latent space models offer a principled approach to network representation, but rely on correct specification of both geometry and link function. Real-world networks often violate these assumptions, exhibiting geometric mismatch and…

Aldric Labarthe

Statistics

A Ranking Approach to Global Optimization

In this paper, we consider the problem of maximizing an unknown and potentially nonconvex function f over a compact and convex set X ⊂ R^d using as few observations f (x) as possible. We observe that the optimization of the function f essentially…

Cédric Malherbe, Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis

Physics

Quantum approach for electrical system maintenance scheduling problem

Maintenance scheduling is essential to ensure the reliability of power transmission systems while limiting operational risk and respecting technical and resource constraints. Increasing system complexity due to asset aging and renewable integration…

Qinyan Zhou, Djahou N Tognon, Sofiane Chalal, Noureddine Henka, Sami Tazi, Fikri Hafid, Titouan Carette

Computation

Digital twin-based hybrid framework for steam generator clogging prognostics

We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reactors. The proposed approach combines a physics-based simulation code,…

Edgar Jaber, Emmanuel Remy, Vincent Chabridon, Morgane Garo-Sail, Mathilde Mougeot, Didier Lucor, Jerome Delplace, Maxime Lointier

Cognitive science

Neurophysiological Resting-State Markers of Catatonia in Schizophrenia and Mood Disorders

Abstract Background and Hypothesis Identifying reliable diagnostic biomarkers in catatonia remains a key challenge to improve early intervention and reduce morbidity and mortality. Since its pathophysiology may involve cortical dysconnectivity,…

Mylène Moyal, Aline Lefebvre, Sahar Allouch, Sophie Sebille, David Alexander, Laura Dugué, Mahmoud Hassan, Victor Férat, Marie-Odile Krebs, Martine Gavaret, Boris Chaumette, Marion Plaze, Anton Iftimovici

Schizophrenia Bulletin - 2026

Optimization and Control

Accelerating Full-Scale Nonlinear Model Predictive Control via Surrogate Dynamics Optimization

Driven by advances in hardware and software technologies, nonlinear model predictive control (NMPC) has gained increasing adoption in both industry and academia over the past decades. However, its practical deployment is often limited by the…

Perceval Beja-Battais, Guillaume Dupré, Alain Grossetête, Nicolas Vayatis

Computer Science

Unlocking Few-Shot Capabilities in LVLMs via Prompt Conditioning and Head Selection

Current Large Vision Language Models (LVLMs) excel at many zero-shot tasks like image captioning, visual question answering and OCR. However, these same models suffer from poor performance at image classification tasks, underperforming against CLIP…

Adhémar de Senneville, Xavier Bou, Jérémy Anger, Rafael Grompone, Gabriele Facciolo