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Members
Events
Projects
Publications
Documentation
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English (United States)
Members
Events
Projects
Publications
Documentation
EN
Français (France)
English (United States)
LIRIS theme for Hugo
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Events
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Events
The scientific animation of the team is organized around 3 scientific themes.
Scientific Meetings
OptiCore
GraphMind
Transversal Meetings
CodeFlux
Upcoming Events
Oct 2, 2026
CodeFlux
Privacy-Preserving Computation Techniques
Presented by Amara Tsukuda
article
code
slides
Latest Events
Jun 12, 2026
OptiCore
Evaluation of Large Language Models
Presented by Declan Singh
article
code
slides
May 19, 2026
CodeFlux
Human-AI Collaboration in Complex Tasks
Presented by Lila Bashir
article
code
slides
May 8, 2026
GraphMind
Autonomous Agents in Multi-Environment Systems
Presented by Clara Mbaye
article
code
slides
Apr 28, 2026
OptiCore
Synthetic Data Generation for Model Training
Presented by Julien Farah
article
code
slides
Mar 3, 2026
GraphMind
Anomaly Detection in Time Series Data
Presented by Priya Fontaine
article
code
slides
Feb 11, 2026
OptiCore
Graph Neural Networks for Data Analysis
Presented by Grace Moyo
article
code
slides
Feb 6, 2026
CodeFlux
Explainable AI and Ethical Considerations
Presented by Aisha Novak
article
code
slides
Jan 25, 2026
CodeFlux
Quantum Algorithms for Optimization Problems
Presented by Inès Nguyen
article
code
slides
Dec 22, 2025
OptiCore
Federated Learning in Healthcare Applications
Presented by Samir O'Connell
article
code
slides
Dec 15, 2025
GraphMind
Data-Centric Approaches in AI Development
Presented by Enzo Zhang
article
code
slides
Oct 9, 2025
OptiCore
Reinforcement Learning in Robotics Control
Presented by Alex Fedorov
article
code
slides
Sep 1, 2025
CodeFlux
Generative Models and System Security
Presented by Jonas Abadi
article
code
slides
Aug 31, 2025
CodeFlux
Real-Time Data Streaming in Scalable Systems
Presented by Nadir Martins
article
code
slides
Aug 28, 2025
CodeFlux
Transfer Learning for Small Data Regimes
Presented by Omar Leblanc
article
code
slides
Aug 27, 2025
GraphMind
Machine Learning for Cybersecurity Defense
Presented by Fatima Hernández
article
code
slides
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