Wasserstein steepest descent flows of discrepancies with Riesz kernels-Reference-Cited by-同舟云学术

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Wasserstein steepest descent flows of discrepancies with Riesz kernels

Published:2024-03 Issue:1 Volume:531 Page:127829
ISSN:0022-247X
Container-title:Journal of Mathematical Analysis and Applications
language:en
Short-container-title:Journal of Mathematical Analysis and Applications

Author:

Hertrich Johannes,Gräf Manuel,Beinert Robert^ORCID,Steidl Gabriele

Funder

Bundesministerium für Bildung und Forschung Dienststelle Berlin

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

Applied Mathematics,Analysis

Reference53 articles.

1. Neural Wasserstein gradient flows for maximum mean discrepancies with Riesz kernels;Altekrüger,2023

2. Gradient Flows;Ambrosio,2005

3. Maximum mean discrepancy gradient flow;Arbel,2019

4. Spherical Harmonics and Approximations on the Unit Sphere: An Introduction;Atkinson,2012

5. Dimensionality of local minimizers of the interaction energy;Balagué;Arch. Ration. Mech. Anal.,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative Modeling with Flow-Guided Density Ratio Learning;Lecture Notes in Computer Science;2024

2. Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line;Lecture Notes in Computer Science;2023

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