David Lüdke

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Crowd Simulation

Point Processes

Statistical Shape

Top Venues

Medical Image Anal.

Publications

Marten Lienen, David Lüdke, Jan Hansen-Palmus, Stephan Günnemann
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation. ICLR (2024)
Tamaz Amiranashvili, David Lüdke, Hongwei Bran Li, Stefan Zachow, Bjoern H. Menze
Learning continuous shape priors from sparse data with neural implicit functions. Medical Image Anal. 94 (2024)
David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
Add and Thin: Diffusion for Temporal Point Processes. NeurIPS (2023)
Johanna Sommer, Leon Hetzel, David Lüdke, Fabian J. Theis, Stephan Günnemann
The power of motifs as inductive bias for learning molecular distributions. CoRR (2023)
David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
Add and Thin: Diffusion for Temporal Point Processes. CoRR (2023)
Marten Lienen, Jan Hansen-Palmus, David Lüdke, Stephan Günnemann
Generative Diffusion for 3D Turbulent Flows. CoRR (2023)
Tamaz Amiranashvili, David Lüdke, Hongwei Bran Li, Bjoern H. Menze, Stefan Zachow
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions. MIDL (2022)
David Lüdke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern H. Menze, Stefan Zachow
Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations. MICCAI (2) (2022)
David Lüdke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern H. Menze, Stefan Zachow
Landmark-free Statistical Shape Modeling via Neural Flow Deformations. CoRR (2022)