The Future of Learning-based Artificial Intelligence
EPFL Hub for Machine Learning Theory and Methodology with Applications
ML brings together EPFL faculty developing cross-cutting machine learning theory and methodology towards artificial intelligence systems for key engineering, scientific, and societal applications.
From undergrades to PhDs, EPFL has plenty of Machine Learning courses to offer.
Research is a major part in the Machine Learning field. With publications at premiere ML venues each year, EPFL has a strong standing.
You can find exciting ML related events and news from EPFL here.
The latest news
EPFL Accepted Papers at NeurIPS 2019
EPFL is proud to present the following 25 papers at NeurIPS, the 33rd Conference on Neural Information Processing Systems in Vancouver, Canada. If you are attending NeurIPS 2019, we hope to meet and discuss!
Statistics: EPFL 2018 Machine Learning Publications
Summary of EPFL ML Publications in 2018