Self-Consistent Velocity Matching of Probability Flows

31 January 2023

Papers citing "Self-Consistent Velocity Matching of Probability Flows"

12 / 12 papers shown

Title
Integration Matters for Learning PDEs with Backwards SDEs Sungje Park Stephen Tu PINN 45 0 0 02 May 2025
Parametric model reduction of mean-field and stochastic systems via higher-order action matching Jules Berman Tobias Blickhan Benjamin Peherstorfer 16 0 0 15 Oct 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 38 15 0 24 May 2024
A score-based particle method for homogeneous Landau equation Yan Huang Li Wang OT 39 5 0 08 May 2024
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 15 59 0 17 Jul 2023
Lagrangian Flow Networks for Conservation Laws F. A. Torres M. Negri M. Inversi Jonathan Aellen Volker Roth 16 2 0 26 May 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 20 33 0 09 Apr 2023
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs Zebang Shen Zhenfu Wang 11 4 0 11 Feb 2023
Probability flow solution of the Fokker-Planck equation Nicholas M. Boffi Eric Vanden-Eijnden 6 40 0 09 Jun 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein Marco Cuturi Laetitia Meng-Papaxanthos Yingtao Tian Charlotte Bunne Geoff Davis O. Teboul OT 143 94 0 28 Jan 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 68 54 0 04 Dec 2021
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 169 596 0 22 Sep 2016