Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina. - Jan Kukacka; Anja Zenz; Marcel Kollovieh; Dominik Jüstel; Vasilis Ntziachristos (CoRR, 2021)

U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images. - Marcel Kollovieh; Matthias Keicher; Stephan Wunderlich; Hendrik Burwinkel; Thomas Wendler 001; Nassir Navab (CoRR, 2022)

Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. - Ivan Ezhov; Tudor Mot; Suprosanna Shit; Jana Lipková; Johannes C. Paetzold; Florian Kofler; Chantal Pellegrini; Marcel Kollovieh; Fernando Navarro; Hongwei Li 004; Marie Metz; Benedikt Wiestler; et al. (IEEE Trans. Medical Imaging, 2022)

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting. - Marcel Kollovieh; Abdul Fatir Ansari; Michael Bohlke-Schneider; Jasper Zschiegner; Hao Wang 014; Yuyang Wang 001 (NeurIPS, 2023)

Assessing Robustness via Score-Based Adversarial Image Generation. - Marcel Kollovieh; Lukas Gosch; Yan Scholten; Marten Lienen; Stephan Günnemann (CoRR, 2023)

Expected Probabilistic Hierarchies. - Marcel Kollovieh; Bertrand Charpentier; Daniel Zügner; Stephan Günnemann (NeurIPS, 2024)

Efficient Time Series Processing for Transformers and State-Space Models through Token Merging. - Leon Götz; Marcel Kollovieh; Stephan Günnemann; Leo Schwinn (CoRR, 2024)

Assessing Robustness via Score-Based Adversarial Image Generation. - Marcel Kollovieh; Lukas Gosch; Marten Lienen; Yan Scholten; Leo Schwinn; Stephan Günnemann (Trans. Mach. Learn. Res., 2024)

Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting. - Marcel Kollovieh; Marten Lienen; David Lüdke; Leo Schwinn; Stephan Günnemann (ICLR, 2025)

Unlocking Point Processes through Point Set Diffusion. - David Lüdke; Enric Rabasseda Raventós; Marcel Kollovieh; Stephan Günnemann (ICLR, 2025)

Generative Modeling with Bayesian Sample Inference. - Marten Lienen; Marcel Kollovieh; Stephan Günnemann (CoRR, 2025)

Byte Pair Encoding for Efficient Time Series Forecasting. - Leon Götz; Marcel Kollovieh; Stephan Günnemann; Leo Schwinn (CoRR, 2025)