MARViN - Multiple Arithmetic Resolutions Vacillating in Neural Networks. - Lorenz Kummer; Kevin Sidak; Tabea Reichmann; Wilfried N. Gansterer (CoRR, 2021)

Dynamic Neural Network Architectural and Topological Adaptation and Related Methods - A Survey. - Lorenz Kummer (CoRR, 2021)

Neural Network Augmented Compartmental Pandemic Models. - Lorenz Kummer; Kevin Sidak (CoRR, 2022)

Adaptive Precision Training (AdaPT): A dynamic quantized training approach for DNNs. - Lorenz Kummer; Kevin Sidak; Tabea Reichmann; Wilfried N. Gansterer (SDM, 2023)

Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent. - Lorenz Kummer; Samir Moustafa; Nils M. Kriege; Wilfried N. Gansterer (CoRR, 2023)

Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent. - Lorenz Kummer; Samir Moustafa; Sebastian Schrittwieser; Wilfried N. Gansterer; Nils M. Kriege (KDD, 2024)

Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks. - Lorenz Kummer; Samir Moustafa; Wilfried N. Gansterer; Nils Morten Kriege (AAAI, 2025)

On the Relationship Between Robustness and Expressivity of Graph Neural Networks. - Lorenz Kummer; Wilfried N. Gansterer; Nils Morten Kriege (AISTATS, 2025)

Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win. - Lorenz Kummer; Samir Moustafa; Anatol Ehrlich; Franka Bause; Nikolaus Süss; Wilfried N. Gansterer; Nils M. Kriege (CoRR, 2025)