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Florian Graf
Florian Graf
Verified email at sbg.ac.at
Title
Cited by
Cited by
Year
Dissecting supervised contrastive learning
F Graf, C Hofer, M Niethammer, R Kwitt
International Conference on Machine Learning, 3821-3830, 2021
1072021
Graph filtration learning
C Hofer, F Graf, B Rieck, M Niethammer, R Kwitt
International Conference on Machine Learning, 4314-4323, 2020
902020
Topological attention for time series forecasting
S Zeng, F Graf, C Hofer, R Kwitt
Advances in neural information processing systems 34, 24871-24882, 2021
262021
Topologically densified distributions
C Hofer, F Graf, M Niethammer, R Kwitt
International Conference on Machine Learning, 4304-4313, 2020
202020
On measuring excess capacity in neural networks
F Graf, S Zeng, B Rieck, M Niethammer, R Kwitt
Advances in Neural Information Processing Systems 35, 10164-10178, 2022
72022
Latent sdes on homogeneous spaces
S Zeng, F Graf, R Kwitt
Advances in Neural Information Processing Systems 36, 2024
22024
Dissecting Supervised Contrastive Learning
R Kwitt, F Graf, C Hofer, M Niethammer
Proceedings of Machine Learning Research: Proceedings of the 38th …, 2021
2021
Topological Attention for Time Series Forecasting
R Kwitt, F Graf, S Zeng, C Hofer
Advances in Neural Information Processing Systems 34 (NeurIPS), 2021
2021
Dissecting aneurysm of the ascending aorta in aortic insufficiency, pericardial effusion and infarction
N Goebel, F Graf, M Turina
VASA. Zeitschrift fur Gefasskrankheiten 12 (4), 390-394, 1983
1983
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Articles 1–9