TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

19 May 2023

Papers citing "TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series"

5 / 5 papers shown

Title
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models Xu Liu Taha Aksu Juncheng Liu Qingsong Wen Yuxuan Liang Caiming Xiong Shri Kiran Srinivasan Doyen Sahoo Junnan Li Chenghao Liu AI4TS 45 0 0 14 Mar 2025
Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs George Kontogiannis Pantelis Tzamalis Sotiris Nikoletseas 66 0 0 09 Dec 2024
FlowTS: Time Series Generation via Rectified Flow Yang Hu Xinyu Wang Lirong Wu H. M. Zhang Stan Z. Li Sheng Wang Jen-tse Huang Jiheng Zhang Ziyun Li Tianlong Chen AI4TS 26 0 0 12 Nov 2024
TSGBench: Time Series Generation Benchmark Yihao Ang Qiang Huang Yifan Bao Anthony K. H. Tung Zhiyong Huang AI4TS 31 16 0 07 Sep 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model Daesoo Lee Sara Malacarne Erlend Aune BDL 37 25 0 08 Mar 2023