Machine Learning Foundation research bridges an in-depth understanding of the workings of machine learning, which includes geometric machine learning, causality, reinforcement learning, probabilistic and statistical modeling, and quantum machine learning.
ML Foundations
ML Foundations
Machine Learning Foundation research bridges an in-depth understanding of the workings of machine learning, which includes geometric machine learning, causality, reinforcement learning, probabilistic and statistical modeling, and quantum machine learning.
9 researchers
6 labs
Researchers
Jan-Willem van Meent
Unit Director
Tim van Erven
ELLIS Faculty
Sara Magliacane
ELLIS Faculty
Eric Nalisnick
ELLIS Scholar
Erik J. Bekkers
ELLIS Scholar
Herke van Hoof
ELLIS Scholar
Joris Mooij
ELLIS Faculty
Patrick Forré
ELLIS Faculty
Max Welling
ELLIS Fellow
Ecosystem
AI4Science
Korteweg-de Vries Institute
AM Lab
Mercury Machine Learning Lab
QUVA-lab
Delta Lab
Browse other research themes
Table Representation Learning
Socially Intelligent Artificial Systems (SIAS)
Natural Language Processing
Focuses on the interpretation and generation of language
ML for Health
Applies AI techniques in healthcare
Information Retrieval
Connects people to information effectively
Computer Vision
Uses AI to analyze and interpret videos and images
