Weber, Tobias

6 publications

ICLR 2025 Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer

ICML 2025 Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig

WACV 2024 Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer

ICML 2024 Generalizing Orthogonalization for Models with Non-Linearities David Rügamer, Chris Kolb, Tobias Weber, Lucas Kook, Thomas Nagler

ICLRW 2024 Uncertainty Quantification for Fourier Neural Operators Tobias Weber, Emilia Magnani, Marvin Pförtner, Philipp Hennig

NeurIPSW 2021 Towards Modelling Hazard Factors in Unstructured Data Spaces Using Gradient-Based Latent Interpolation Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer