Mischa Dombrowski

Semantic Latent Alignment for Flow Matching with Invertible Bi-Lipschitz Adapters

Pretrained latent spaces trade compression, reconstruction, and the learnability of the coordinates a downstream generator has to work in, which complicates adapting these spaces to different domains or tasks: continued training is expensive, and without a new alignment objective it often fails to improve downstream ge...

A Data-Interventional Framework for Auditing Privacy and Fairness in Generative Medical Imaging

Diffusion-based synthetic data generation offers a promising route for sharing medical imaging data without releasing sensitive patient records. However, generative models face a fundamental tension between privacy and fairness: they may memorize rare training samples, leading to privacy risks, or fail to reproduce und...

Machine Learning for Biomedical Imaging A Data-Interventional Framework for Auditing Privacy and Fairness in Generative Medical Imaging