Research semester programmes in 2023

More information on the topics, seminars and lectures.

2023

Machine Learning Theory

For spring 2023, our Machine Learning (ML) research group will organize a Research Semester Program about Machine Learning Theory. The committee of this program consists of Wouter Koolen-Wijkstra and Peter Grünwald. The poster can be downloaded here.
More information on this research program.

Machine Learning Theory

Spring school social XR

The aim of this spring school is to learn about Social XR, as a new medium for communication and collaboration. We have 4 open lectures on topics like VR in healthcare, immersive video, eXtended reality and volumetric video. More information on the scope and the target audience.

spring school social XR

Scientific Machine Learning

The semester programme aims to bring together researchers in The Netherlands that work or aim to work at the interface of physics-based modeling and machine learning. In particular, we welcome mathematicians and computer scientists involved in physics problems. Also we invite physicists and engineers to come and see the value of scientific machine learning in many practical applications. Overview of the semester programme.

Scientific Machine Learning

Photographs: Shutterstock (Machine Learning Theory) and Ivar Pel (Spring School Social XR)