Arne P. Raulf

11 papers B 3C 1Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 C conf
On Advancements of the Forward-Forward Algorithm.
CoDIT
Mauricio Ortiz Torres, Markus Lange, Arne P. Raulf
2025 J jnl
On Advancements of the Forward-Forward Algorithm.
CoRR
Mauricio Ortiz Torres, Markus Lange, Arne P. Raulf
2025 J jnl
Revisiting Evaluation of Deep Neural Networks for Pedestrian Detection.
CoRR
Patrick Feifel, Benedikt Franke, Frank Bonarens, Frank Köster, Arne P. Raulf, Friedhelm Schwenker
2025 J jnl
Robustness and Regularization in Hierarchical Re-Basin.
CoRR
Benedikt Franke, Florian Heinrich, Markus Lange, Arne P. Raulf
2024 B conf
Robustness and Regularization in Hierarchical Re-Basin.
ESANN
Benedikt Franke, Florian Heinrich, Markus Lange, Arne P. Raulf
2023 B conf
Potential analysis of a Quantum RL controller in the context of autonomous driving.
ESANN
Manuel Lautaro Hickmann, Arne P. Raulf, Frank Köster, Friedhelm Schwenker, Hans-Martin Rieser
2023 J jnl
Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation.
CoRR
Markus Gross, Arne P. Raulf, Christoph Räth
2022 — conf
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection.
AISafety@IJCAI
Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster
2021 B conf
SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations.
ESANN
Arne P. Raulf, Sina Däubener, Ben Hack, Axel Mosig, Asja Fischer
2020 J jnl
Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples.
CoRR
Arne P. Raulf, Joshua Butke, Lukas Menzen, Claus Küpper, Frederik Großerüschkamp, Klaus Gerwert, Axel Mosig
2020 J jnl
Deep representation learning for domain adaptable classification of infrared spectral imaging data.
Bioinform.
Arne P. Raulf, Joshua Butke, Claus Küpper, Frederik Großerüschkamp, Klaus Gerwert, Axel Mosig