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Arne P. Raulf
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2020 – today
- 2024
- [c5]Benedikt Franke, Florian Heinrich, Markus Lange, Arne P. Raulf:
Robustness and Regularization in Hierarchical Re-Basin. ESANN 2024 - 2023
- [c4]M. Lautaro Hickmann
, Arne P. Raulf, Frank Köster, Friedhelm Schwenker, Hans-Martin Rieser:
Potential analysis of a Quantum RL controller in the context of autonomous driving. ESANN 2023 - [c3]Sabine Theis
Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work. HCI (40) 2023: 355-380 - [i4]Hans-Martin Rieser, Frank Köster, Arne Peter Raulf:
Tensor networks for quantum machine learning. CoRR abs/2303.11735 (2023) - [i3]Sabine Theis, Sophie F. Jentzsch, Fotini Deligiannaki, Charles Berro, Arne Peter Raulf, Carmen Bruder:
Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work. CoRR abs/2306.15394 (2023) - [i2]Markus Gross, Arne P. Raulf, Christoph Räth:
Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation. CoRR abs/2311.14120 (2023) - 2022
- [c2]Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster:
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection. AISafety@IJCAI 2022 - 2021
- [c1]Arne P. Raulf, Sina Däubener, Ben Hack, Axel Mosig, Asja Fischer:
SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations. ESANN 2021 - 2020
- [j1]Arne P. Raulf, Joshua Butke, Claus Küpper, Frederik Großerüschkamp
Deep representation learning for domain adaptable classification of infrared spectral imaging data. Bioinform. 36(1): 287-294 (2020) - [i1]Arne P. Raulf, Joshua Butke, Lukas Menzen, Claus Küpper, Frederik Großerüschkamp, Klaus Gerwert, Axel Mosig:
Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples. CoRR abs/2002.07681 (2020)
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