Arne P. Raulf

According to our database, Arne P. Raulf authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Robustness and Regularization in Hierarchical Re-Basin.

Benedikt Franke, Florian Heinrich, Markus Lange, Arne P. Raulf

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation.

Markus Gross, Arne P. Raulf, Christoph Räth

CoRR, 2023

Tensor networks for quantum machine learning.

Hans-Martin Rieser, Frank Köster, Arne Peter Raulf

CoRR, 2023

Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work.

Sabine Theis, Sophie F. Jentzsch, Fotini Deligiannaki, Charles Berro, Arne Peter Raulf, Carmen Bruder

Proceedings of the Artificial Intelligence in HCI, 2023

Potential analysis of a Quantum RL controller in the context of autonomous driving.

M. Lautaro Hickmann, Arne P. Raulf, Frank Köster, Friedhelm Schwenker, Hans-Martin Rieser

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection.

Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

2021

SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations.

Arne P. Raulf, Sina Däubener, Ben Hack, Axel Mosig, Asja Fischer

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples.

Arne P. Raulf, Joshua Butke, Lukas Menzen, Claus Küpper, Frederik Großerüschkamp, Klaus Gerwert, Axel Mosig

CoRR, 2020

Deep representation learning for domain adaptable classification of infrared spectral imaging data.

Arne P. Raulf, Joshua Butke, Claus Küpper, Frederik Großerüschkamp, Klaus Gerwert, Axel Mosig

Bioinform., 2020