Fuchsgruber, Dominik;Wollschläger, Tom;Bordne, Johannes;Günnemann, Stephan
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
International Conference of Machine Learning 2025
2025

Franco, Nicola
Formal Verification of Neural Networks: Potential and Advantage with Quantum Computing
2025
Dissertation
158 Seiten

Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann, Simon Geisler
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
International Conference on Learning Representations 2025
2025

Kuvshinov, Aleksei
Theory, Limitations and Applications of Robustness Verification Methods for Neural Networks
2025
Dissertation
179 Seiten

Kopetzki, Anna-Kathrin
Adversarial Robustness of Classification, Uncertainty Estimation and Transfer Learning
2025
Dissertation
57 Seiten

Gao, Nicholas David
Generalized Neural Wave Functions
2025
Dissertation
175 Seiten

Geisler, Simon Markus
Reliable Graph Machine Learning
2025
Dissertation
352 Seiten