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Marcel Kollovieh
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Citace
Citace
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Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting
M Kollovieh, AF Ansari, M Bohlke-Schneider, J Zschiegner, H Wang, ...
Advances in Neural Information Processing Systems 36, 2023
422023
Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, C Pellegrini, ...
IEEE Transactions on Medical Imaging 41 (5), 1269-1278, 2021
24*2021
Assessing robustness via score-based adversarial image generation
M Kollovieh, L Gosch, Y Scholten, M Lienen, S Günnemann
arXiv preprint arXiv:2310.04285, 2023
42023
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
L Götz, M Kollovieh, S Günnemann, L Schwinn
arXiv preprint arXiv:2405.17951, 2024
32024
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
J Kukačka, A Zenz, M Kollovieh, D Jüstel, V Ntziachristos
MedNeurIPS Workshop. NeurIPS, 2021
32021
U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images
M Kollovieh, M Keicher, S Wunderlich, H Burwinkel, T Wendler, N Navab
arXiv preprint arXiv:2206.08078, 2022
22022
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
M Kollovieh, M Lienen, D Lüdke, L Schwinn, S Günnemann
arXiv preprint arXiv:2410.03024, 2024
12024
Expected Probabilistic Hierarchies
M Kollovieh, B Charpentier, D Zügner, S Günnemann
Advances in Neural Information Processing Systems 37, 2024
2024
Unlocking Point Processes through Point Set Diffusion
D Lüdke, ER Raventós, M Kollovieh, S Günnemann
arXiv preprint arXiv:2410.22493, 2024
2024
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Články 1–9