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TSGBench: Time Series Generation Benchmark

TSGBench: Time Series Generation Benchmark

7 September 2023
Yihao Ang
Qiang Huang
Yifan Bao
Anthony K. H. Tung
Zhiyong Huang
    AI4TS
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Papers citing "TSGBench: Time Series Generation Benchmark"

8 / 8 papers shown
Title
Multivariate Data Augmentation for Predictive Maintenance using
  Diffusion
Multivariate Data Augmentation for Predictive Maintenance using Diffusion
Andrew Thompson
Alexander Sommers
Alicia Russell-Gilbert
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
Joshua Church
DiffM
37
0
0
06 Nov 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
Lei Ren
Haiteng Wang
Yang Tang
Yang Tang
Chunhua Yang
AI4TS
AI4CE
49
5
0
16 Jul 2024
A Survey of Transformer Enabled Time Series Synthesis
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
AI4TS
40
2
0
04 Jun 2024
Vector Quantized Time Series Generation with a Bidirectional Prior Model
Vector Quantized Time Series Generation with a Bidirectional Prior Model
Daesoo Lee
Sara Malacarne
Erlend Aune
BDL
37
25
0
08 Mar 2023
GT-GAN: General Purpose Time Series Synthesis with Generative
  Adversarial Networks
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
Jinsung Jeon
Jeonghak Kim
Haryong Song
Seunghyeon Cho
Noseong Park
AI4TS
82
42
0
05 Oct 2022
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
50
186
0
17 Feb 2021
Conditional Loss and Deep Euler Scheme for Time Series Generation
Conditional Loss and Deep Euler Scheme for Time Series Generation
Carl Remlinger
Joseph Mikael
Romuald Elie
DiffM
19
12
0
10 Feb 2021
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
77
512
0
29 Nov 2016
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