Marcel Kollovieh

According to our database, Marcel Kollovieh authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting.

Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann

CoRR, 2024

Efficient Time Series Processing for Transformers and State-Space Models through Token Merging.

Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn

CoRR, 2024

2023

Assessing Robustness via Score-Based Adversarial Image Generation.

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

CoRR, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, Marie Metz, Benedikt Wiestler, Bjoern H. Menze

IEEE Trans. Medical Imaging, 2022

U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images.

Marcel Kollovieh, Matthias Keicher, Stephan Wunderlich, Hendrik Burwinkel, Thomas Wendler, Nassir Navab

CoRR, 2022

2021

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

Jan Kukacka, Anja Zenz, Marcel Kollovieh, Dominik Jüstel, Vasilis Ntziachristos

CoRR, 2021