Generative Sliced MMD Flows with Riesz Kernels

19 May 2023

Papers citing "Generative Sliced MMD Flows with Riesz Kernels"

8 / 8 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 73 0 0 26 Apr 2025
Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime Raphael Barboni Gabriel Peyré François-Xavier Vialard MLT 27 0 0 25 Apr 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 51 0 0 03 Mar 2025
Fast Summation of Radial Kernels via QMC Slicing Johannes Hertrich Tim Jahn Michael Quellmalz 16 5 0 02 Oct 2024
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces Viktor Stein Sebastian Neumayer Gabriele Steidl Nicolaj Rux 48 9 0 07 Feb 2024
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows Chao Du Tianbo Li Tianyu Pang Shuicheng Yan Min-Bin Lin DiffM BDL 38 12 0 03 May 2023
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 50 39 0 11 Jul 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 68 54 0 04 Dec 2021