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A Jump-Modified Wasserstein Gradient Flow for Maximum Mean Discrepancy with Energy Kernels
Ansh Desai, Jason Liu, Srujan Roplekar, Matthew Rosenzweig

A Jump-Modified Wasserstein Gradient Flow for Maximum Mean Discrepancy with Energy Kernels

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

We study a jump-modified Wasserstein gradient flow of the squared maximum mean discrepancy generated by the energy kernels $K(z)=-|z|^q$, $0

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title A Jump-Modified Wasserstein Gradient Flow for Maximum Mean Discrepancy with Energy Kernels
Author / Organization Ansh Desai, Jason Liu, Srujan Roplekar, Matthew Rosenzweig
Subject & Discipline math.AP
Categories Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-268956
Original Source Link Visit Source Page on arxiv.org »