arXiv Machine Learning June 16, 2026 By Alessandro Micheli, Yueqi Cao, Anthea Monod, Samir Bhatt

Generative Modeling on Metric Graphs via Neural Optimal Transport

Read the original on arXiv Machine Learning →

arXiv:2606. 16273v1 Announce Type: cross Abstract: We introduce, to our knowledge, the first deep generative modeling framework for probability distributions continuously supported on compact metric graphs.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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