TimeVAE: A Variational Auto-Encoder for Multivariate Time Series
Generation

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

15 November 2021

Cynthia Freeman

Papers citing "TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation"

17 / 17 papers shown

Title
Generative Models for Long Time Series: Approximately Equivariant Recurrent Network Structures for an Adjusted Training Scheme Ruwen Fulek Markus Lange-Hegermann AI4TS 45 0 0 08 May 2025
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Yunfeng Ge Jiawei Li Yiji Zhao Haomin Wen Zhao Li M. Qiu Yiming Li Ming Jin Shirui Pan DiffM 180 0 0 05 May 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling Hao Li Yu Huang Chang Xu Viktor Schlegel Ren-He Jiang R. Batista-Navarro Goran Nenadic Jiang Bian DiffM AI4CE 197 2 0 04 Mar 2025
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data P. Tiwald Ivona Krchova Andrey Sidorenko Mariana Vargas-Vieyra Mario Scriminaci Michael Platzer 49 1 0 21 Jan 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Yu Huang Chang Xu Yueying Wu Wu-Jun Li Jiang Bian DiffM 47 3 0 10 Jan 2025
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Lüdke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 50 6 0 03 Oct 2024
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation Jian Qian Miao Sun Sifan Zhou Biao Wan Minhao Li Patrick Chiang 46 7 0 05 Jul 2024
Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data Jiayi He Jiao Chen Qianmiao Liu Suyan Dai Jianhua Tang Dongpo Liu DiffM AI4CE 45 4 0 22 Jun 2024
Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities Maria F. Davila Sven Groen Fabian Panse Wolfram Wingerath LMTD 39 1 0 31 May 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 46 4 0 06 Mar 2024
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 24 46 0 21 Jul 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 39 11 0 19 May 2023
Regular Time-series Generation using SGM Haksoo Lim Minjung Kim Sewon Park Noseong Park DiffM TTA AI4TS 33 23 0 20 Jan 2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation Hongming Li Shujian Yu José C. Príncipe CML BDL MedIm 28 47 0 16 Jan 2023
StyleTime: Style Transfer for Synthetic Time Series Generation Yousef El-Laham Svitlana Vyetrenko AI4TS 26 5 0 22 Sep 2022
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models Tijin Yan Tong Zhou Yufeng Zhan Yuanqing Xia DiffM 21 7 0 20 Dec 2021
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 514 0 29 Nov 2016