Machine learning

LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation

Enhancing the efficiency of high-quality image generation using Diffusion Models (DMs) is a significant challenge due to the iterative nature of the process. Flow Matching (FM) is emerging as a powerful generative modeling paradigm based on a …

A New Utility Evaluation Framework for Data Anonymization in the Context of Mobility

Sharing urban mobility and public transportation data is critical to use the mobility infrastructure of cities to its fullest potential. For data protection reasons, however, the disclosure of data to the public is restricted and only permitted if …