Publications

2025

1. ICLR

   

   Continuous Diffusion for Mixed-Type Tabular Data

   Markus Mueller, Kathrin Gruber, and Dennis Fok

   In International Conference on Learning Representations, 2025

   Idea arXiv Bib Code

   The main idea was to develop a diffusion model that integrates continuous and categorical effectively and efficiently. We aimed to unify both feature types in continuous space and to balance their losses to avoid implicit importance weights that impact sample quality.

   @inproceedings{mueller2025,
     title = {Continuous {{Diffusion}} for {{Mixed-Type Tabular Data}}},
     booktitle = {International {{Conference}} on {{Learning Representations}}},
     author = {Mueller, Markus and Gruber, Kathrin and Fok, Dennis},
     year = {2025},
     idea = {The main idea was to develop a diffusion model that integrates continuous and categorical effectively and efficiently. We aimed to unify both feature types in continuous space and to balance their losses to avoid implicit importance weights that impact sample quality.}
   }

2023

1. NeurIPS

   Continuous Diffusion for Mixed-Type Tabular Data

   Markus Mueller, Kathrin Gruber, and Dennis Fok

   In Workshop on Synthetic Data Generation with Generative AI, NeurIPS, 2023