Moritz Weckbecker

According to our database, Moritz Weckbecker authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks.

Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Galip Ümit Yolcu, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, René P. Klausen

CoRR, June, 2025

Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation.

Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

Trans. Mach. Learn. Res., 2025

Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence.

Frederik Pahde, Maximilian Dreyer, Moritz Weckbecker, Leander Weber, Christopher J. Anders, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

PINNfluence: Influence Functions for Physics-Informed Neural Networks.

Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, René P. Klausen

CoRR, 2024

2022

On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics.

Moritz Weckbecker, Wenkai Xu, Gesine Reinert

CoRR, 2022