Marcel Kollovieh

21 papers A* 5Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D Molecule Generation from Rigid Motifs via SE(3) Flows. CoRR Roman Poletukhin, Marcel Kollovieh, Eike Eberhard, Stephan Günnemann
2025	J	`jnl`	Byte Pair Encoding for Efficient Time Series Forecasting. CoRR Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn
2025	J	`jnl`	Discrete Bayesian Sample Inference for Graph Generation. CoRR Ole Petersen, Marcel Kollovieh, Marten Lienen, Stephan Günnemann
2025	J	`jnl`	Edit-Based Flow Matching for Temporal Point Processes. CoRR David Lüdke, Marten Lienen, Marcel Kollovieh, Stephan Günnemann
2025	A*	`conf`	Efficient Time Series Processing for Transformers and State-Space Models through Token Merging. ICML Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn
2025	J	`jnl`	Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling. CoRR Niclas Dern, Lennart Redl, Sebastian Pfister, Marcel Kollovieh, David Lüdke, Stephan Günnemann
2025	A*	`conf`	Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting. ICLR Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann
2025	J	`jnl`	Generative Modeling with Bayesian Sample Inference. CoRR Marten Lienen, Marcel Kollovieh, Stephan Günnemann
2025	J	`jnl`	GeoDiffusion: A Training-Free Framework for Accurate 3D Geometric Conditioning in Image Generation. CoRR Phillip Mueller, Talip Uenlue, Sebastian Schmidt, Marcel Kollovieh, Jiajie Fan, Stephan Günnemann, Lars Mikelsons
2025	A*	`conf`	Unlocking Point Processes through Point Set Diffusion. ICLR David Lüdke, Enric Rabasseda Raventós, Marcel Kollovieh, Stephan Günnemann
2024	J	`jnl`	Assessing Robustness via Score-Based Adversarial Image Generation. Trans. Mach. Learn. Res. Marcel Kollovieh, Lukas Gosch, Marten Lienen, Yan Scholten, Leo Schwinn, Stephan Günnemann
2024	J	`jnl`	Efficient Time Series Processing for Transformers and State-Space Models through Token Merging. CoRR Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn
2024	A*	`conf`	Expected Probabilistic Hierarchies. NeurIPS Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
2024	J	`jnl`	Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting. CoRR Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann
2024	J	`jnl`	Unlocking Point Processes through Point Set Diffusion. CoRR David Lüdke, Enric Rabasseda Raventós, Marcel Kollovieh, Stephan Günnemann
2023	J	`jnl`	Assessing Robustness via Score-Based Adversarial Image Generation. CoRR Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann
2023	A*	`conf`	Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting. NeurIPS Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang
2023	J	`jnl`	Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting. CoRR Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang
2022	J	`jnl`	Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. IEEE Trans. Medical Imaging 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
2022	J	`jnl`	U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images. CoRR Marcel Kollovieh, Matthias Keicher, Stephan Wunderlich, Hendrik Burwinkel, Thomas Wendler, Nassir Navab
2021	J	`jnl`	Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina. CoRR Jan Kukacka, Anja Zenz, Marcel Kollovieh, Dominik Jüstel, Vasilis Ntziachristos