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StyleTime: Style Transfer for Synthetic Time Series Generation

StyleTime: Style Transfer for Synthetic Time Series Generation

22 September 2022
Yousef El-Laham
Svitlana Vyetrenko
    AI4TS
ArXivPDFHTML

Papers citing "StyleTime: Style Transfer for Synthetic Time Series Generation"

7 / 7 papers shown
Title
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
81
189
0
17 Feb 2021
An Empirical Survey of Data Augmentation for Time Series Classification
  with Neural Networks
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana
S. Uchida
AI4TS
40
499
0
31 Jul 2020
Time Series Data Augmentation for Deep Learning: A Survey
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen
Liang Sun
Fan Yang
Xiaomin Song
Jing Gao
Xue Wang
Huan Xu
AI4TS
43
640
0
27 Feb 2020
Quant GANs: Deep Generation of Financial Time Series
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GAN
AI4TS
AIFin
48
275
0
15 Jul 2019
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
63
569
0
31 May 2018
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
243
7,361
0
12 Sep 2016
Imaging Time-Series to Improve Classification and Imputation
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang
Tim Oates
AI4TS
91
672
0
01 Jun 2015
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