Mean-field Chaos Diffusion Models

8 June 2024

Papers citing "Mean-field Chaos Diffusion Models"

22 / 22 papers shown

Title
Score-based Transport Modeling for Mean-Field Fokker-Planck Equations Jianfeng Lu Yue Wu Yang Xiang OT 59 10 0 21 Apr 2023
Diffusion Generative Models in Infinite Dimensions Gavin Kerrigan Justin Ley Padhraic Smyth DiffM 105 34 0 01 Dec 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 149 505 0 12 Oct 2022
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 79 170 0 10 Aug 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 102 85 0 16 Jun 2022
Equivariant Diffusion for Molecule Generation in 3D Emiel Hoogeboom Victor Garcia Satorras Clément Vignac Max Welling DiffM 133 623 0 31 Mar 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 83 228 0 05 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 508 15,788 0 20 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 102 236 0 14 Dec 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 61 549 0 07 Jul 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 271 748 0 02 Mar 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 176 673 0 22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 385 6,592 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 304 7,500 0 06 Oct 2020
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems Lars Ruthotto Stanley Osher Wuchen Li L. Nurbekyan Samy Wu Fung AI4CE 148 220 0 04 Dec 2019
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: II -- The Finite Horizon Case René Carmona Mathieu Laurière 72 99 0 05 Aug 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 103 671 0 28 Jun 2019
Generalized Sliced Wasserstein Distances Soheil Kolouri Kimia Nadjahi Umut Simsekli Roland Badeau Gustavo K. Rohde 60 301 0 01 Feb 2019
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 260 6,177 0 24 Jan 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 181 7,380 0 27 Oct 2017
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 176 5,538 0 09 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,198 0 21 May 2015