Thomas Altstidl

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Multimodal Fusion

Diffusion Model

Top Venues

Publications

Björn Nieth, Thomas Altstidl, Leo Schwinn, Björn M. Eskofier
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation. CoRR (2024)
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 (2024)
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)
Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn
Raising the Bar for Certified Adversarial Robustness with Diffusion Models. CoRR (2023)
Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern M. Eskofier
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. NeurIPS (2023)
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 (2022)
Thomas Altstidl, Sebastian Kram, Oskar Herrmann, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler
Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning. IPIN (2021)