Rethinking the Diffusion Models for Numerical Tabular Data Imputation
from the Perspective of Wasserstein Gradient Flow

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow

22 June 2024

Haoxuan Li

Fangyikang Wang

Papers citing "Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow"

5 / 5 papers shown

Title
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 31 37 0 29 Apr 2024
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching Jannis Chemseddine Paul Hagemann Gabriele Steidl Christian Wald 38 9 0 27 Mar 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
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,300 0 02 Sep 2022
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 47 61 0 04 Nov 2021