@article{lienenbsi,title={Generative Modeling with Bayesian Sample Inference},author={Lienen, Marten and Kollovieh, Marcel and G{\"u}nnemann, Stephan},journal={Preprint},shortjournal={},year={2025}}
Byte Pair Encoding for Efficient Time Series Forecasting
@article{gotzbytepair,title={Byte Pair Encoding for Efficient Time Series Forecasting},author={G{\"o}tz, Leon and Kollovieh, Marcel and G{\"u}nnemann, Stephan and Schwinn, Leo},journal={Preprint},shortjournal={},year={2025}}
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
@article{gotzefficient,title={Efficient Time Series Processing for Transformers and State-Space Models through Token Merging},author={G{\"o}tz, Leon and Kollovieh, Marcel and G{\"u}nnemann, Stephan and Schwinn, Leo},journal={International Conference on Machine Learning},shortjournal={ICML},year={2025}}
Unlocking Point Processes through Point Set Diffusion
David Lüdke, Enric Rabasseda Raventós, Marcel Kollovieh, and Stephan Günnemann
The Thirteenth International Conference on Learning Representations, ICLR 2025
@article{luedke2024unlock,title={Unlocking Point Processes through Point Set Diffusion},author={L\"udke, David and Raventós, Enric Rabasseda and Kollovieh, Marcel and G{\"u}nnemann, Stephan},journal={The Thirteenth International Conference on Learning Representations},shortjournal={ICLR},year={2025},openreview={https://openreview.net/forum?id=4anfpHj0wf}}
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
@article{kollovieh2024flow,title={Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting},author={Kollovieh, Marcel and Lienen, Marten and L{\"u}dke, David and Schwinn, Leo and G{\"u}nnemann, Stephan},journal={The Thirteenth International Conference on Learning Representations},shortjournal={ICLR},year={2025},openreview={https://openreview.net/forum?id=uxVBbSlKQ4&}}
@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},shortjournal={NeurIPS},year={2024},volume={37},openreview={https://openreview.net/forum?id=fMdrBucZnj},}
Assessing Robustness via Score-Based Adversarial Image Generation
@article{kollovieh2023assessing,title={Assessing Robustness via Score-Based Adversarial Image Generation},author={Kollovieh, Marcel and Gosch, Lukas and Lienen, Marten and Scholten, Yan and Schwinn, Leo and G{\"u}nnemann, Stephan},journal={Transactions on Machine Learning Research},shortjournal={TMLR},year={2024},month=nov,openreview={https://openreview.net/pdf/f98bc8e708dd336cb418f975430200792f039bd1.pdf},}
2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
@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},shortjournal={NeurIPS},year={2023},volume={36},openreview={https://openreview.net/forum?id=q6X038vKgU},}
2021
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
Jan Kukačka, Anja Zenz, Marcel Kollovieh, Dominik Jüstel, and Vasilis Ntziachristos
@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},}
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
@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},}