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Conditional GAN for timeseries generation

Conditional GAN for timeseries generation

30 June 2020
Kaleb E. Smith
Anthony O. Smith
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Conditional GAN for timeseries generation"

32 / 32 papers shown
Title
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Zijian Li
Minghao Fu
Junxian Huang
Yifan Shen
Ruichu Cai
Yuewen Sun
Guangyi Chen
Kun Zhang
CML
132
0
0
21 Oct 2025
Handling Extreme Class Imbalance: Using GANs in Data Augmentation for Suicide Prediction
Handling Extreme Class Imbalance: Using GANs in Data Augmentation for Suicide Prediction
Vaishnavi Visweswaraiah
Tanvi Banerjee
W. Romine
SyDa
42
0
0
20 Oct 2025
Fiaingen: A financial time series generative method matching real-world data quality
Fiaingen: A financial time series generative method matching real-world data quality
Jože M. Rožanec
Tina Žezlin
Laurentiu Vasiliu
Dunja Mladenić
R.-C. Prodan
Dumitru Roman
AI4TS
4
0
0
01 Oct 2025
Causal Time Series Generation via Diffusion Models
Causal Time Series Generation via Diffusion Models
Yutong Xia
Chang Xu
Yuxuan Liang
Qingsong Wen
Roger Zimmermann
Jiang Bian
DiffMCML
133
0
0
25 Sep 2025
CTBench: Cryptocurrency Time Series Generation Benchmark
CTBench: Cryptocurrency Time Series Generation Benchmark
Yihao Ang
Qiang Wang
Qiang Huang
Yifan Bao
Xinyu Xi
A. Tung
Chen Jin
Zhiyong Huang
AI4TS
38
2
0
03 Aug 2025
Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping
Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping
Abdulvahap Mutlu
Şengül Doğan
Türker Tuncer
89
0
0
19 Jun 2025
Simulating realistic short tandem repeat capillary electrophoretic
  signal using a generative adversarial network
Simulating realistic short tandem repeat capillary electrophoretic signal using a generative adversarial network
Duncan Taylor
Melissa Humphries
GAN
87
0
0
28 Aug 2024
GANs Conditioning Methods: A Survey
GANs Conditioning Methods: A Survey
Anis Bourou
Valérie Mezger
Auguste Genovesio
EGVMAI4CE
277
2
0
28 Aug 2024
On the Use of Relative Validity Indices for Comparing Clustering
  Approaches
On the Use of Relative Validity Indices for Comparing Clustering Approaches
Luke W. Yerbury
R. Campello
G. C. Livingston
Mark Goldsworthy
Lachlan OÑeil
121
3
0
16 Apr 2024
A Practical Guide to Statistical Distances for Evaluating Generative
  Models in Science
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science
Sebastian Bischoff
Alana Darcher
Michael Deistler
Richard Gao
Franziska Gerken
...
Auguste Schulz
Zinovia Stefanidi
Shoji Toyota
Linda Ulmer
Julius Vetter
SyDa
105
15
0
19 Mar 2024
Towards Controllable Time Series Generation
Towards Controllable Time Series Generation
Yifan Bao
Yihao Ang
Qiang Huang
Anthony K. H. Tung
Zhiyong Huang
DiffM
156
6
0
06 Mar 2024
Time-Transformer: Integrating Local and Global Features for Better Time
  Series Generation
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation
Yuansan Liu
S. Wijewickrema
Ang Li
C. Bester
Stephen O'Leary
James Bailey
ViTAI4TS
213
11
0
18 Dec 2023
Data Augmentation for Time-Series Classification: An Extensive Empirical
  Study and Comprehensive Survey
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
Zijun Gao
Lingbo Li
AI4TS
186
15
0
16 Oct 2023
NetDiffus: Network Traffic Generation by Diffusion Models through
  Time-Series Imaging
NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging
Nirhoshan Sivaroopan
Dumindu Bandara
Chamara Madarasingha
Guilluame Jourjon
A. Jayasumana
Kanchana Thilakarathna
DiffM
90
36
0
23 Sep 2023
Masked Generative Modeling with Enhanced Sampling Scheme
Masked Generative Modeling with Enhanced Sampling Scheme
Daesoo Lee
Erlend Aune
Sara Malacarne
DiffM
91
4
0
14 Sep 2023
TSGBench: Time Series Generation Benchmark
TSGBench: Time Series Generation BenchmarkProceedings of the VLDB Endowment (PVLDB), 2023
Yihao Ang
Qiang Huang
Yifan Bao
Anthony K. H. Tung
Zhiyong Huang
AI4TS
187
27
0
07 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the
  state-of-the-art
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty
Ujjwal Reddy K S
Shraddha M. Naik
Madhurima Panja
B. Manvitha
176
105
0
30 Aug 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
131
25
0
03 Aug 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model
Vector Quantized Time Series Generation with a Bidirectional Prior ModelInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Daesoo Lee
Sara Malacarne
Erlend Aune
BDL
165
36
0
08 Mar 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
S. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINNAI4CE
155
61
0
14 Nov 2022
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis
Leveraging Statistical Shape Priors in GAN-based ECG SynthesisIEEE Access (IEEE Access), 2022
Nour Neifar
A. Ben-Hamadou
Afef Mdhaffar
M. Jmaiel
Bernd Freisleben
GAN
128
13
0
22 Oct 2022
Quantifying Quality of Class-Conditional Generative Models in
  Time-Series Domain
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
Alireza Koochali
Maria Walch
Sankrutyayan Thota
P. Schichtel
Andreas Dengel
Sheraz Ahmed
EGVM
107
4
0
14 Oct 2022
Transformer-based conditional generative adversarial network for
  multivariate time series generation
Transformer-based conditional generative adversarial network for multivariate time series generation
Abdellah Madane
M. Dilmi
Florent Forest
Hanane Azzag
M. Lebbah
J. Lacaille
83
13
0
05 Oct 2022
The Interplay of AI and Digital Twin: Bridging the Gap between
  Data-Driven and Model-Driven Approaches
The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven ApproachesIEEE wireless communications (IEEE Wireless Commun.), 2022
Lina Bariah
Merouane Debbah
109
32
0
26 Sep 2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal
  Ratio Scoring Approach
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring ApproachACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Taha Belkhouja
Yan Yan
J. Doppa
OODDAI4TS
122
6
0
09 Jul 2022
Data-Driven Modeling of Noise Time Series with Convolutional Generative
  Adversarial Networks
Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks
A. Wunderlich
Jack G. Sklar
AI4TS
202
5
0
03 Jul 2022
PhysioGAN: Training High Fidelity Generative Model for Physiological
  Sensor Readings
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings
M. Alzantot
L. Garcia
Mani B. Srivastava
76
1
0
25 Apr 2022
Simulating Network Paths with Recurrent Buffering Units
Simulating Network Paths with Recurrent Buffering UnitsAAAI Conference on Artificial Intelligence (AAAI), 2022
Divyam Anshumaan
S. Balasubramanian
Shubham Tiwari
Nagarajan Natarajan
Sundararajan Sellamanickam
V. Padmanabhan
140
1
0
23 Feb 2022
Wasserstein GAN: Deep Generation applied on Bitcoins financial time
  series
Wasserstein GAN: Deep Generation applied on Bitcoins financial time series
Moritz Pfenninger
Samuel Rikli
Daniel Nico Bigler
Osterrieder Joerg
GANAI4TS
128
6
0
13 Jul 2021
Time Series (re)sampling using Generative Adversarial Networks
Time Series (re)sampling using Generative Adversarial NetworksNeural Networks (NN), 2021
Christian Moller Dahl
Emil N. Sørensen
TTAAI4TS
116
10
0
30 Jan 2021
Statistical analysis of Wasserstein GANs with applications to time
  series forecasting
Statistical analysis of Wasserstein GANs with applications to time series forecasting
Moritz Haas
S. Richter
AI4TS
80
9
0
05 Nov 2020
Demand Forecasting of Individual Probability Density Functions with
  Machine Learning
Demand Forecasting of Individual Probability Density Functions with Machine Learning
Felix Wick
U. Kerzel
Martin Hahn
Moritz Wolf
Trapti Singhal
Daniel Stemmer
Jakob Ernst
M. Feindt
OODAI4TS
273
5
0
15 Sep 2020
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