publications

2024

1. 

   Expected Probabilistic Hierarchies

   Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, and Stephan Günnemann

   Neural Information Processing Systems, 2024

   Bib

   @article{kollovieh2024eph,
     title = {Expected Probabilistic Hierarchies},
     author = {Kollovieh, Marcel and Charpentier, Bertrand and Zügner, Daniel and G{\"u}nnemann, Stephan},
     journal = {Neural Information Processing Systems},
     year = {2024},
   }

2023

1. 

   Assessing Robustness via Score-Based Adversarial Image Generation

   Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, and Stephan Günnemann

   arXiv preprint arXiv:2310.04285, 2023

   Bib PDF

   @article{kollovieh2023assessing,
     title = {Assessing Robustness via Score-Based Adversarial Image Generation},
     author = {Kollovieh, Marcel and Gosch, Lukas and Scholten, Yan and Lienen, Marten and G{\"u}nnemann, Stephan},
     journal = {arXiv preprint arXiv:2310.04285},
     year = {2023},
     url = {https://arxiv.org/pdf/2310.04285.pdf},
   }

2. 

   Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

   Marcel Kollovieh*, Abdul Fatir Ansari*, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, and Yuyang Wang

   Neural Information Processing Systems, 2023

   Bib PDF

   @article{kollovieh2023predict,
     title = {Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting},
     author = {Kollovieh*, Marcel and Ansari*, Abdul Fatir and Bohlke-Schneider, Michael and Zschiegner, Jasper and Wang, Hao and Wang, Yuyang},
     journal = {Neural Information Processing Systems},
     year = {2023},
     url = {https://arxiv.org/pdf/2307.11494.pdf},
   }

2021

1. 

   Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina

   Jan Kukačka, Anja Zenz, Marcel Kollovieh, Dominik Jüstel, and Vasilis Ntziachristos

   Medical Imaging meets NeurIPS, 2021

   Bib PDF

   @article{kukavcka2021self,
     title = {Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina},
     author = {Kuka{\v{c}}ka, Jan and Zenz, Anja and Kollovieh, Marcel and J{\"u}stel, Dominik and Ntziachristos, Vasilis},
     journal = {Medical Imaging meets NeurIPS},
     year = {2021},
     url = {https://arxiv.org/pdf/2108.02798.pdf},
   }

2. 

   Geometry-aware neural solver for fast Bayesian calibration of brain tumor models

   Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipkova, Johannes C Paetzold, Florian Kofler, and 5 more authors

   IEEE Transactions on Medical Imaging, 2021

   Bib PDF

   @article{ezhov2021geometry,
     title = {Geometry-aware neural solver for fast Bayesian calibration of brain tumor models},
     author = {Ezhov, Ivan and Mot, Tudor and Shit, Suprosanna and Lipkova, Jana and Paetzold, Johannes C and Kofler, Florian and Pellegrini, Chantal and Kollovieh, Marcel and Navarro, Fernando and Li, Hongwei and others},
     journal = {IEEE Transactions on Medical Imaging},
     volume = {41},
     number = {5},
     pages = {1269--1278},
     year = {2021},
     publisher = {IEEE},
     url = {https://arxiv.org/pdf/2009.04240.pdf},
   }