ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.11098
  4. Cited By
Generative adversarial networks in time series: A survey and taxonomy

Generative adversarial networks in time series: A survey and taxonomy

23 July 2021
Eoin Brophy
Zhengwei Wang
Qi She
Tomas E. Ward
    EGVM
    AI4TS
ArXivPDFHTML

Papers citing "Generative adversarial networks in time series: A survey and taxonomy"

23 / 23 papers shown
Title
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
Ning Xin
Jionglong Su
Md Maruf Hasan
AI4TS
26
0
0
18 Apr 2025
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems
Zhi Sheng
Yuan Yuan
Yudi Zhang
Depeng Jin
Yong Li
DiffM
AI4CE
46
0
0
16 Feb 2025
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
Representation Learning of Multivariate Time Series using Attention and
  Adversarial Training
Representation Learning of Multivariate Time Series using Attention and Adversarial Training
Leon Scharwächter
Sebastian Otte
OOD
AI4TS
20
0
0
03 Jan 2024
TCGAN: Convolutional Generative Adversarial Network for Time Series
  Classification and Clustering
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
F. Huang
Yangdong Deng
GAN
AI4TS
25
1
0
09 Sep 2023
Unsupervised Representation Learning for Time Series: A Review
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
30
17
0
03 Aug 2023
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
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
Josephine Lamp
M. Derdzinski
Christopher Hannemann
Joost van der Linden
Lu Feng
Tianhao Wang
David E. Evans
AI4TS
13
3
0
02 Mar 2023
Distribution estimation and change-point estimation for time series via
  DNN-based GANs
Distribution estimation and change-point estimation for time series via DNN-based GANs
Jianya Lu
Ying Mo
Zhijie Xiao
Lihu Xu
Qiuran Yao
AI4TS
36
0
0
26 Nov 2022
How to train your draGAN: A task oriented solution to imbalanced
  classification
How to train your draGAN: A task oriented solution to imbalanced classification
Leon O. Guertler
Andri Ashfahani
A. Luu
DiffM
SyDa
30
1
0
18 Nov 2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling
  for Time-series Clinical Data
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
Raffaele Marchesi
Nicolo Micheletti
Giuseppe Jurman
V. Osmani
AI4TS
37
5
0
25 Oct 2022
DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational
  Wave physics
DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational Wave physics
Tom Dooney
Stefano Bromuri
L. Curier
14
3
0
26 Sep 2022
TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data
  Augmentation
TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
Xiaomin Li
Anne H. H. Ngu
V. Metsis
MedIm
32
31
0
28 Jun 2022
Data Augmentation techniques in time series domain: A survey and
  taxonomy
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias
Edgar Talavera
Ángel González-Prieto
Alberto Mozo
S. Gómez-Canaval
AI4TS
14
156
0
25 Jun 2022
Generating multivariate time series with COmmon Source CoordInated GAN
  (COSCI-GAN)
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
Ali Seyfi
Jean-Francois Rajotte
Raymond T. Ng
AI4TS
16
27
0
27 May 2022
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent
  Variables
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables
Hironori Murase
Kenji Fukumizu
19
10
0
21 Feb 2022
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Xiaomin Li
V. Metsis
Huan Wang
Anne H. H. Ngu
16
96
0
06 Feb 2022
Fighting Money Laundering with Statistics and Machine Learning
Fighting Money Laundering with Statistics and Machine Learning
R. Jensen
Alexandros Iosifidis
33
13
0
11 Jan 2022
Spiking Generative Adversarial Networks With a Neural Network
  Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning
Bleema Rosenfeld
Osvaldo Simeone
Bipin Rajendran
GAN
24
16
0
02 Nov 2021
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic
  and Robotic Surgery
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery
Yutong Ban
Guy Rosman
J. Eckhoff
Thomas M. Ward
Daniel A. Hashimoto
Taisei Kondo
Hidekazu Iwaki
O. Meireles
Daniela Rus
22
13
0
10 May 2021
Time Series (re)sampling using Generative Adversarial Networks
Time Series (re)sampling using Generative Adversarial Networks
Christian Moller Dahl
Emil N. Sørensen
TTA
AI4TS
21
6
0
30 Jan 2021
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
156
569
0
19 Mar 2017
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
1