DATA
Research group at Département d'Informatique of the École Normale Supérieure.
We develop foundational mathematical and algorithmic approaches for high-dimensional learning and generative modeling. Our research focuses on representation learning, statistical inference, privacy, and generative models with applications across physics, audio, vision, and neuroscience.
We are members of the interdisciplinary ENS team for AI, the Centre de Sciences des Données (CSD), and the PR[AI]RIE-PSAI Institute. We are a joint research team between the École Normale Supérieure and the CNRS UMR 8548.
The DATA group also hosts the MathAData and the Challenge Data initiatives detailed in the Projects section.
Research axes
Data Processing
Theory of Deep Learning
Trustworthy Machine Learning
News
| Jul 15, 2025 | DATA will be present at ICML 2025 in Vancouver, Canada ! Go check out our accepted papers: “Improving Diversity in Language Models: When Temperature Fails, Change the Loss” and “Optimal transport-based conformal prediction” ! |
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| Jun 15, 2025 | We are excited to announce the launch of our new website! The DATA team has been working hard to create a more user-friendly and visually appealing platform. |