Diffusion Models for Tabular Data Imputation and Synthetic Data
Generation

Diffusion Models for Tabular Data Imputation and Synthetic Data Generation

2 July 2024

Mario Villaizán-Vallelado

Matteo Salvatori

Ioannis Arapakis

Papers citing "Diffusion Models for Tabular Data Imputation and Synthetic Data Generation"

7 / 7 papers shown

Title
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang N. V. Stein Thomas Bäck M. Leeuwen DiffM 44 0 0 24 Feb 2025
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang Zhimeng Jiang Huiyuan Chen Xiao Li Jing Li 74 2 0 15 Dec 2024
Data Augmentation via Diffusion Model to Enhance AI Fairness Christina Hastings Blow Lijun Qian Camille Gibson Pamela Obiomon Xishuang Dong DiffM 29 0 0 20 Oct 2024
STaSy: Score-based Tabular data Synthesis Jayoung Kim C. Lee Noseong Park DiffM 54 59 0 08 Oct 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
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 118 197 0 16 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021