• 👀 I’m interested in the Satisfiability of Machine and Deep Learning (Explainable AI, Causality..), I am passionated for mathematics and its applications like energy domaine, sustainability, ...

• 🥇 MS.E in Computer Science (summa cum laude) from Ecole Polytechnique - Institut Polytechnique of Paris, France. Currently, I follow a Ph.D. program at the same institute.

• 💞️ Open to collaborate on Explainability for Generative Models

• 📚 What I have read ?

• 📫 How to reach me [email protected] (.org [for graduate email])

• Training at Mathematical Institute, University of Oxford

• Summer School Oxford, Machine Learning (OxML2023): Generative Models on NLP & Finance

• Current work:

  • Satisfiability modulo theories, Neural networks as a sub-symbolic approach with Pr. Sergio Mover
  • Deep Q-Learning systems to avoid collisions 802.11bf electric scooter with Pr. Keun-Woo Lim
  • Explainable Models for sequential data with Pr. François Roueff and Pr. Said Ladjal. Follow-up by Pr. Cristian Jutten.
  • OpenXAI for time series with Stanford University (ongoing...)

• I collaborate to @huggingface Time Series Large Models

News 📣:

• [January 2024]🚀 Paper accepted at ICLR 2024: Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
• [September 2023] Paper accepted at NeurIPS 2023: DISCOV
• [March 2023] Paper accepter at ICML 2023: Temporal Attention Bottleneck is Informative?

Feel free to discover my repositories.