Theses

Prerequisites

At least one participation in a lecture or seminar of the Chair

Subject areas

We offer theses in the field of theoretical and applied artificial intelligence - either with a focus on one of the two areas or a combination of both.

Expressivity of Neural Networks
Generalization of Deep Neural Networks
Explainability of Neural Networks
Deep Learning and PDEs
Graph Neural Networks
Inverse Problems and Image Processing
Robustness and Computability
Spiking Neural Newtorks and Energy Efficient AI

If you are interested in a thesis or a supervised research project

Please send your CV and your transcript of records by e-mail to Prof. Gitta Kutyniok. We will then arrange a meeting to talk about the potential topics

Tutorials

AI for Beginners : This tutorial is for anyone interested in using AI and training neural networks for their own projects or simply for fun. The official launch of the website is on 15th July.
Explaining Image Classifiers with Wavelets: Our interactive web article illustrates how wavelets can be leveraged to explain decisions by neural network based image classifiers and is based on our ECCV 2022 paper (oral presentation) Cartoon Explanations of Image Classifiers.