Forging connections between machine learning techniques and strongly correlated physical systems Ghent University
In this research project, we aim at developing novel ways for understanding physical systems
consisting of many interacting constituents using techniques developed in the field of machine
learning. A common use of machine learning models is to classify pictures of different objects into
categories. Likewise, machine learning methods can be exploited to find hidden connections and
correlations between the different ...