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Ruo-Yu Lin

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#machine learning Preprint Sep 2026

Multi-Agent Flow Matching with Decoupled Generative Guidance

Generative modeling is widely used for producing diverse objects from complex, multimodal distributions. However, its expressivity does not, in general, come with formal guarantees that the generated objects satisfy hard constraints or requirements. In multi-agent generation, this problem becomes more challenging becau...

Ruo-Yu Lin, Magnus Egerstedt, Fabio Pasqualetti · 0 citations

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