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arXiv Machine Learning By Khai Nguyen, Yang Ni, Elizabeth Juarez-Colunga, Peter Mueller

Distributional Determinantal Point Process for Repulsive Clustering of Distributions

Read the original on arXiv Machine Learning →

arXiv:2607. 21847v1 Announce Type: cross Abstract: We introduce the distributional determinantal point process (dDPP) as a novel repulsive point process whose atoms are probability distributions rather than points in a real space.

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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