Publications

Modeling and Simulation

Estimation rapide des inondations et courants de tsunami à partir d'algorithmes de Deep Learning

In a context where the time constraints imposed on the French National Tsunami Warning Center make high-fidelity numerical simulations unusable, this thesis proposes an alternative approach based on artificial intelligence to rapidly predict the…

Pierre Andraud

Engineering Sciences

Fourier-Mixture of Experts YOLO for concrete crack segmentation with visual interpretability

Haochen Chang, David Bassir, Anicet Barrios, Gongfa Chen

Automation in Construction - 2025

Engineering Sciences

Wearable Smart Gloves Based on Laser-induced Graphene for Multimodal Sensing and AI-Enhanced Recognition

This study presents a comprehensive investigation of laser-induced graphene (LIG) for multimodal sensing applications. LIG, synthesized through direct laser irradiation of polyimide substrates, offers unique advantages such as high throughput,…

Wei Tao, Yufeng Xue, Wenhui Lu, David Bassir, Ling Yin, Liang Shen, Qinhua Hu, Anindya Nag

IEEE Sensors Journal - 2025

Engineering Sciences

Resilient math inspired EDA optimized fuzzy adaptive exponent controller for LFC improvement of an EV integrated microgrid

Abstract This study aims to stabilize the frequency of an electric vehicle-integrated AC microgrid in different electrical uncertainties. The recommended microgrid is built by incorporating different distributed generation (DG) oriented power plants…

Prakash Chandra Sahu, Buddhadeva Sahoo, Sarat Chandra Swain, Ghanshyam Tejani, David Bassir

Scientific Reports - 2025

Machine Learning

Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport

The Expectation-Maximisation (EM) algorithm is a central tool in statistics and machine learning, widely used for latent-variable models such as Gaussian Mixture Models (GMMs). Despite its ubiquity, EM is typically treated as a non-differentiable…

Samuel Boïté, Eloi Tanguy, Julie Delon, Agnès Desolneux, Rémi Flamary

Sensory Organs

Fluctuations in angle lambda with the pupil diameter and correlations with biometric values in a healthy population

The anatomical and dynamic description of the eyeball provided by physiological optics relies on several angles formed by the intersection of a number of axes. 1 Some definitions lack consensus, and variations are encountered in the literature. 2…

Maxence Rateaux, Alienor Vienne-Jumeau, Dominique Bremond-Gignac, Matthieu P Robert

Ophthalmic & Physiological Optics - 2025

Probability

Formal equivalence between global optimization consistency and random search

We formalize a proof that any stochastic and iterative global optimization algorithm is consistent over Lipschitz continuous functions if and only if it samples the whole search space. To achieve this, we use the L∃∀N theorem prover and the Mathlib…

Gaëtan Serré

Mathematics

Deep Generative Methods and Tire Architecture Design

As deep generative models proliferate across the AI landscape, industrial practitioners still face critical yet unanswered questions about which deep generative models best suit complex manufacturing design tasks. This work addresses this question…

Fouad Oubari, Raphael Meunier, Rodrigue Décatoire, Mathilde Mougeot

Mathematics

Multi-Component VAE with Gaussian Markov Random Field

Multi-component datasets with intricate dependencies, like industrial assemblies or multi-modal imaging, challenge current generative modeling techniques. Existing Multi-component Variational AutoEncoders typically rely on simplified aggregation…

Fouad Oubari, Mohamed El-Baha, Raphael Meunier, Rodrigue Décatoire, Mathilde Mougeot

Computer Science

Geometry-aware framework for deep energy method: An application to structural mechanics with hyperelastic materials

Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Jean Di Stasio, Christophe Millet, Mathilde Mougeot

Computer Physics Communications - 2025