The MILES project-team aims at making significant advances in the field of machine learning and data science, in terms of theoretical foundations as well as in concrete applications.
The MILES project-team is hosted by the LAMSADE research unit at Université Paris Dauphine-PSL, France.
The team is also heavily involved in the Paris Artificial Research Intelligence Institute (prAIrie).
Research interests
- Theoretical foundations
- Trustworthy machine learning
- Robustness against adversarial attacks
- Privacy preserving models (e.g. differential privacy)
- Explainable artificial intelligence
- Diversity in generative modeling
- LLM safety and watermarking
- Machine learning and game theory
- Theory of deep learning
- Trustworthy machine learning
- Learning algorithms and architectures
- Compact and energy efficient deep neural networks
- Optimization
- Reinforcement learning
- Applications
- Health
- Game playing
- Robotics
- Natural language processing
- Machine learning for physics
- Art & humanities
- Code generation
Contact
Address:
Université Paris Dauphine-PSL, LAMSADE
Place du Maréchal de Lattre de Tassigny,
75 775 PARIS CEDEX 16, FRANCE
PariSanté Campus
2 – 10 Rue d’Oradour-sur-Glane,
75015 Paris