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

Ansh Desai, Jason Liu, Srujan Roplekar, Matthew Rosenzweig · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.29007 · cited by 0 works (OpenAlex) · open-access PDF

Vietnamese

Chúng tôi nghiên cứu một dòng chảy cấp độ Wasserstein thay đổi nhảy của sự chênh lệch trung bình tối đa vuông được tạo ra bởi các lõi năng lượng $K(z)=- Áthaz Átha^q$, $0

Machine translation (Meta M2M100); the English original follows.

Abstract

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

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Topics: Mathematics, Balanced flow, Mathematical analysis, Energy (signal processing), Flow (mathematics), Wasserstein metric

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