Thomas Schnake
Thomas Schnake
Doctoral Researcher
Thomas Schnake is a PhD student in the machine learning lab at technical university Berlin and BIFOLD. Prior to that he received a M.Sc. in Scientific Computing from TU Berlin and M.Sc. and B.Sc. in Mathematics from HU Berlin. During his undergrad studies he concentrated on stochastics and numerical mathematics. He obtained working and research experience from ebuero AG and GFaI e.V. in Berlin.
- Graph Neural Networks
- Explainable Artificial Intelligence
- Natural Language Processing
- Learning from Structured Data
- AI Regulations
- Mathematical Foundations of Machine Learning
Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Müller, Shinichi Nakajima
Relevant Walk Search for Explaining Graph Neural Networks
Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Gregoire Montavon
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Ping Xiong, Thomas Schnake, Gregoire Montavon, Klaus-Robert Muller, Shinichi Nakajima
Efficient Higher-Order Subgraph Attribution via Message Passing
Ping Xiong, Thomas Schnake, Gregoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf