Lüdke, David

7 publications

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

NeurIPS 2025 Joint Relational Database Generation via Graph-Conditional Diffusion Models Mohamed Amine Ketata, 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 2024 From Zero to Turbulence: Generative Modeling for 3D Flow Simulation Marten Lienen, David Lüdke, Jan Hansen-Palmus, Stephan Günnemann

NeurIPS 2023 Add and Thin: Diffusion for Temporal Point Processes David Lüdke, Marin Biloš, Oleksandr Shchur, Marten Lienen, Stephan Günnemann

MIDL 2023 Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions Tamaz Amiranashvili, David Lüdke, Hongwei Bran Li, Bjoern Menze, Stefan Zachow

ICLRW 2023 The Power of Motifs as Inductive Bias for Learning Molecular Distributions Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J Theis, Stephan Günnemann