Scalable Wasserstein Gradient Flow for Generative Modeling through
Unbalanced Optimal Transport

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport

8 February 2024

Myungjoo Kang

Papers citing "Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport"

10 / 10 papers shown

Title
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Sebastian Kaltenbach P. Koumoutsakos Bjoern H. Menze DiffM 20 1 0 14 Apr 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 56 0 0 03 Mar 2025
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance Christophe Vauthier Quentin Mérigot Anna Korba 37 0 0 10 Feb 2025
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 43 0 0 03 Oct 2024
A Differential Equation Approach for Wasserstein GANs and Beyond Zachariah Malik Yu-Jui Huang 19 0 0 25 May 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 24 5 0 27 Dec 2023
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 72 54 0 04 Dec 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 597 0 22 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 230 2,545 0 25 Jan 2016