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Jens Müller
Jens Müller
University Heidelberg
Verified email at iwr.uni-heidelberg.de
Title
Cited by
Cited by
Year
Projected gans converge faster
A Sauer, K Chitta, J Müller, A Geiger
Advances in Neural Information Processing Systems 34, 17480-17492, 2021
2502021
Learning robust models using the principle of independent causal mechanisms
J Müller, R Schmier, L Ardizzone, C Rother, U Köthe
DAGM German Conference on Pattern Recognition, 79-110, 2021
262021
Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data
DH Lehmann, B Gomes, N Vetter, O Braun, A Amr, T Hilbel, J Müller, ...
The Lancet Digital Health 6 (6), e407-e417, 2024
92024
On the convergence rate of gaussianization with random rotations
F Draxler, L Kühmichel, A Rousselot, J Müller, C Schnörr, U Köthe
International Conference on Machine Learning, 8449-8468, 2023
52023
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
P Lorenz, M Fernandez, J Müller, U Köthe
arXiv preprint arXiv:2406.15104, 2024
12024
Finding Competence Regions in Domain Generalization
J Müller, ST Radev, R Schmier, F Draxler, C Rother, U Köthe
Transactions on Machine Learning Research, 2023
12023
Robustness and Domain Generalization
J Müller
http://www.ub.uni-heidelberg.de/archiv/34762, 2024
2024
ProDAS: Probabilistic Dataset of Abstract Shapes
J Müller, L Ardizzone, U Köthe
http://www.ub.uni-heidelberg.de/archiv/34135, 2023
2023
Towards Context-Aware Domain Generalization: Representing Environments with Permutation-Invariant Networks.
J Müller, L Kühmichel, M Rohbeck, ST Radev, U Köthe
CoRR, 2023
2023
Supplementary Material for Projected GANs Converge Faster
A Sauer, K Chitta, J Müller, A Geiger
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Articles 1–10