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Conference and Workshop Papers
- 2023
[c4]Elisabeth Gabler, Michael Nissen, Thomas R. Altstidl, Adriana Titzmann, Kai Packhäuser, Andreas K. Maier, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. EMBC 2023: 1-4- [c3]Thomas Altstidl
, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IJCNN 2023: 1-8 - [c2]Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern M. Eskofier:
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. NeurIPS 2023 - 2021
- [c1]Thomas Altstidl, Sebastian Kram, Oskar Herrmann, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler:
Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning. IPIN 2021: 1-8
Informal and Other Publications
- 2024
- [i5]Björn Nieth, Thomas Altstidl, Leo Schwinn, Björn M. Eskofier:
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation. CoRR abs/2406.13283 (2024) - [i4]Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen:
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. CoRR abs/2406.15098 (2024) - 2023
- [i3]Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn:
Raising the Bar for Certified Adversarial Robustness with Diffusion Models. CoRR abs/2305.10388 (2023) - [i2]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Bjoern M. Eskofier:
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors. CoRR abs/2305.12380 (2023) - 2022
- [i1]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. CoRR abs/2211.10288 (2022)
Coauthor Index
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