3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
Pascal Mattia Esser, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
In recent years, several results in the supervised learning setting suggested that classical statistical learning-theoretic measures, such as VC dimension, do not adequately explai…
cs.LG2021
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds
Pascal Mattia Esser, Frank Nielsen
When analyzing parametric statistical models, a useful approach consists in modeling geometrically the parameter space. However, even for very simple and commonly used hierarchical…