Kollovieh, Marcel

9 publications

ICML 2025 Efficient Time Series Processing for Transformers and State-Space Models Through Token Merging Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn

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

ICCV 2025 GeoDiffusion: A Training-Free Framework for Accurate 3D Geometric Conditioning in Image Generation Phillip Mueller, Talip Uenlue, Sebastian Schmidt, Marcel Kollovieh, Jiajie Fan, Stephan Günnemann, Lars Mikelsons

NeurIPS 2025 TreeGen: A Bayesian Generative Model for Hierarchies Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti, Bertrand Charpentier, Stephan Günnemann

ICLR 2025 Unlocking Point Processes Through Point Set Diffusion David Lüdke, Enric Rabasseda Raventós, Marcel Kollovieh, Stephan Günnemann

TMLR 2024 Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh, Lukas Gosch, Marten Lienen, Yan Scholten, Leo Schwinn, Stephan Günnemann

NeurIPSW 2024 Efficient Time Series Processing for Transformers and State-Space Models Through Token Merging Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn

NeurIPS 2024 Expected Probabilistic Hierarchies Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann

NeurIPS 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