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Conditional GAN for timeseries generation

Conditional GAN for timeseries generation

30 June 2020
Kaleb E. Smith
Anthony O. Smith
    AI4TS
ArXivPDFHTML

Papers citing "Conditional GAN for timeseries generation"

27 / 27 papers shown
Title
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
35
0
0
28 Aug 2024
GANs Conditioning Methods: A Survey
GANs Conditioning Methods: A Survey
Anis Bourou
Valérie Mezger
Auguste Genovesio
EGVM
AI4CE
43
0
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
33
1
0
16 Apr 2024
Towards Controllable Time Series Generation
Towards Controllable Time Series Generation
Yifan Bao
Yihao Ang
Qiang Huang
Anthony K. H. Tung
Zhiyong Huang
DiffM
46
4
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
ViT
AI4TS
29
7
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
23
8
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
27
17
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
13
3
0
14 Sep 2023
TSGBench: Time Series Generation Benchmark
TSGBench: Time Series Generation Benchmark
Yihao Ang
Qiang Huang
Yifan Bao
Anthony K. H. Tung
Zhiyong Huang
AI4TS
34
16
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
27
61
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
32
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
40
25
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
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
27
49
0
14 Nov 2022
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis
Nour Neifar
A. Ben-Hamadou
Afef Mdhaffar
M. Jmaiel
Bernd Freisleben
GAN
21
11
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
22
3
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
22
10
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 Approaches
Lina Bariah
Merouane Debbah
20
20
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 Approach
Taha Belkhouja
Yan Yan
J. Doppa
OODD
AI4TS
24
3
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
42
4
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
27
1
0
25 Apr 2022
Simulating Network Paths with Recurrent Buffering Units
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan
S. Balasubramanian
Shubham Tiwari
Nagarajan Natarajan
Sundararajan Sellamanickam
V. Padmanabhan
32
0
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
GAN
AI4TS
16
5
0
13 Jul 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
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
13
8
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
OOD
AI4TS
16
4
0
15 Sep 2020
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
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
251
2,550
0
25 Jan 2016
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