We are developing algorithmic and theoretical tools to better understand machine learning and to make it more robust and usable.

Current students. Hao Zhao, Master Thesis; Tiberiu Musat, Bachelor Thesis. Alumni. Postdocs. Etienne Boursier (now research faculty member at INRIA Saclay), ...

Markov chain Monte Carlo (MCMC) algorithms are a powerful, computational tool for Bayesian inference.

Theory of Machine Learning, EPFL has 12 repositories available. Follow their code on GitHub.

Theory of deep learning. Understanding the performance of neural networks is certainly one of the most thrilling challenges for the current machine learning ...

Theory of Machine Learning Lab at @EPFL led by Nicolas Flammarion. We develop algorithmic & theoretical tools to better understand ML & make it more robust.

We are interested in developing a better understanding of robustness of machine learning models to small, worst-case changes in the inputs known as adversarial ...

We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks.

In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented.Optimization for machine ...

Open Positions · Prospective PhD students · Prospective Postdocs · Internship Positions. Please apply directly via the Summer@EPFL program.