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.
EPFL @ ICLR 2024
The following 29 EPFL papers have been accepted to ICLR 2024 (12th International Conference on Learning Representations). The conference will be held from May 7-11, 2024 in Vienna, Austria.
EPFL @ NeurIPS 2023
54 EPFL papers have been accepted to this year conference on Neural Information Processing Systems (NeurIPS). Congratulatations! 37th edition of NeurIPS will take e place in New Orleans, USA from December 10th to December 16th.
Generative Models for Molecular Discovery
With: Dr. Bilodeau is currently an assistant professor in Chemical Engineering at the University of Virginia. She received her B.S. and M.S. from Northwestern University and her Ph.D. from Rensselaer Polytechnic Institute, both in Chemical and Biological Engineering. During her Ph.D., she received the Lawrence Livermore Advanced Simulations and Computation Graduate Fellowship, through which she carried out research at Lawrence Livermore National Laboratory. She completed a postdoc at MIT working with Klavs Jensen and Regina Barzilay. Her research explores the intersection between artificial intelligence and molecular simulations with the goal of designing new molecules and materials.
Category: Conferences – Seminars