TimeAutoDiff: Combining Autoencoder and Diffusion model for time series
tabular data synthesizing

TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing

23 June 2024

Shirong Xu

Guang Cheng

Papers citing "TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing"

5 / 5 papers shown

Title
Quantifying and Mitigating Privacy Risks for Tabular Generative Models Chaoyi Zhu Jiayi Tang Hans Brouwer Juan F. Pérez Marten van Dijk Lydia Y. Chen 24 2 0 12 Mar 2024
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data Simone Luetto Fabrizio Garuti E. Sangineto L. Forni Rita Cucchiara LMTD AI4TS 59 10 0 13 Feb 2023
STaSy: Score-based Tabular data Synthesis Jayoung Kim C. Lee Noseong Park DiffM 27 34 0 08 Oct 2022
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 92 144 0 16 Feb 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 120 298 0 11 Dec 2020