Keywords

Statistical learning
Generativ AI
Confident AI and alignment
Data mining
Speach procesing
Recommender systems

Recent News

19 May | Conference
Humanistica 2026

30 July | Publication
Évaluation automatique du retour à la source dans un contexte historique long et bruité : les débats parlementaires de la Troisième République française

30 July | Publication
Automatic Source Attribution Evaluation: Application to Parliamentary Debates

More news

Fields of interest

The AI team members are conducting research in theoretical and application domains of AI. They mainly focus on research topics centered on representation learning, optimization and data mining.

Members

Leaders

Marc Plantevit

Professor

Data Mining Machine Learning Graphs Neural Networks explainable AI xAI by design

Permanent Members

Michaël Aupetit

Professor

Idir Benouaret

Associate Professor

Recommendation systems Data Mining Data exploration

Réda Dehak

Associate Professor

Speaker recognition Language recognition Automatic speech processing

Laurence Denneulin

Associate Professor

Inverse Problems Spectral extraction High contrast image reconstruction Non conventional imagery

Lamine Diop

Associate Professor

Data Mining Machine Learning Artificial Intelligence Knowledge Graphs

Nikolaos Melissinos

Associate Professor

Multi Agent Systems Combinatorial Optimization Algorithms Complexity

Eric Moulines

Professor

Julien Perez

Associate Researcher

Generative modeling Deep Learning Reinforcement Learning LLM alignement Pedagogy and AI

Alessio Ragno

Associate Professor

Explainable AI Graph Neural Networks Reinforcement Learning Continual Learning

Rahul Singh

Associate Professor

Rémi Vaucher

Associate Professor

Non Permanent Members

Navid Bagheri Shouraki

PhD Student

Anton Conrad

PhD Student

Vladimir Kondratyev

PhD Student

Théo Lepage

Postdoctoral Researcher

Self-Supervised Learning Speaker & Language Recognition Deep Learning Speech Processing

Andrea Marzo

PhD Student

Margaux Mouton

PhD Student