publications

(*) denotes equal contribution

For a complete list, please check my Google Scholar.

2023

  1. ScoreAG.png
    Assessing Robustness via Score-Based Adversarial Image Generation
    arXiv preprint arXiv:2310.04285, 2023
  2. TSDiff.png
    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

2021

  1. SSRetinal.png
    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
  2. TumorGrowth.png
    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