Flow matching (FM) is a new generative modelling paradigm which is rapidly gaining popularity in the deep learning community. Flow matching combines aspects .
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Sharing data can often enable compelling applications and analytics. However, more often than not, valuable datasets contain information of sensitive nature, and thus sharing them can endanger the privacy of users and organizations.
A possible alternative gaining momentum in the research communit