The "ML axis" of LRE applies Machine/Deep Learning techniques in the following domains:

• Biomedical Imaging (Nicolas Boutry)
• Computer Vision (Nicolas Boutry, Thibault Lejemble, Olivier Ricou, Guillaume Tochon)
• Cybersecurity (Nicolas Boutry)
• Formal Concept Analysis (Nidà Meddouri)
• Speech Processing (Réda Dehak)

Some of us work in Data Science:

• Data Mining (Idir Benouaret, Lamine Diop, Marc Plantevit)

and in the Artificial Intelligence field:

• Classification Methods (Nidà Meddouri)
• Feature Selection Methods (Nidà Meddouri)
• Graphs Neural Networks (Nicolas Boutry, Marc Plantevit)
• Recommendation Systems (Idir Benouaret, Marc Plantevit),
• SAT Solving and Constraint-based Programming (Loïc Rouquette)
• xAI (Nicolas Boutry, Marc Plantevit)

Others develop new tools or methodologies relative to Machine/Deep Learning:

• Morphological Layers for Neural Networks (Guillaume Tochon)
• xAI Methodologies (Nicolas Boutry)

Members

Leaders

Idir Benouaret

Associate Professor

Recommendation systems Data Mining Data exploration

Permanent Members

Nicolas Boutry

Associate Professor

Discrete Topology Mathematical Morphology Pattern Recognition Machine & Deep Learning

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

Nidà Meddouri

Associate Professor

Eric Moulines

Professor

Julien Perez

Professor

Generative modeling Deep Learning Reinforcement Learning LLM alignement Pedagogy and AI

Marc Plantevit

Professor

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

Gonzalo Romero-Garcia

Associate Professor

Guillaume Tochon

Associate Professor

Mathematical Morphology Pattern Recognition Machine & Deep Learning Space Imagery

Rémi Vaucher

Associate Professor

Non Permanent Members

Alessio Ragno

Postdoctoral Researcher

Explainable AI Graph Neural Networks Reinforcement Learning Continual Learning