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Real-valued (Medical) Time Series Generation with Recurrent Conditional
  GANs

Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

8 June 2017
Cristóbal Esteban
Stephanie L. Hyland
Gunnar Rätsch
    GAN
    SyDa
    MedIm
ArXivPDFHTML

Papers citing "Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs"

50 / 322 papers shown
Title
SOS: Score-based Oversampling for Tabular Data
SOS: Score-based Oversampling for Tabular Data
Jayoung Kim
Chae-Eun Lee
Yehjin Shin
Sewon Park
Minjung Kim
Noseong Park
Jihoon Cho
DiffM
24
34
0
17 Jun 2022
Autoencoding Conditional GAN for Portfolio Allocation Diversification
Autoencoding Conditional GAN for Portfolio Allocation Diversification
Junwen Lu
Sanghyun Yi
17
7
0
17 Jun 2022
On the Privacy Properties of GAN-generated Samples
On the Privacy Properties of GAN-generated Samples
Zinan Lin
Vyas Sekar
Giulia Fanti
PICV
24
26
0
03 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
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation
Akash S. Doshi
Manan Gupta
J. Andrews
24
22
0
25 May 2022
Time-series Transformer Generative Adversarial Networks
Time-series Transformer Generative Adversarial Networks
Padmanaba Srinivasan
William J. Knottenbelt
AI4TS
28
13
0
23 May 2022
Financial Time Series Data Augmentation with Generative Adversarial
  Networks and Extended Intertemporal Return Plots
Financial Time Series Data Augmentation with Generative Adversarial Networks and Extended Intertemporal Return Plots
Justin Hellermann
Qinzhuan Qian
Ankit Shah
AI4TS
29
1
0
18 May 2022
Evolving SimGANs to Improve Abnormal Electrocardiogram Classification
Evolving SimGANs to Improve Abnormal Electrocardiogram Classification
G. Wang
Anish Thite
R. Talebi
Anthony DÁchille
A. Mussa
Jason Zutty
13
3
0
12 May 2022
Synthetic Data -- what, why and how?
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
46
109
0
06 May 2022
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of
  Epileptic Seizures
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures
Yankun Xu
Jie Yang
Mohamad Sawan
24
26
0
29 Apr 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
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
Quan-Xin Ding
Shenghua Liu
Bin Zhou
Huawei Shen
Xueqi Cheng
AI4TS
AI4CE
21
1
0
18 Apr 2022
Enabling Synthetic Data adoption in regulated domains
Enabling Synthetic Data adoption in regulated domains
Giorgio Visani
Giacomo Graffi
Mattia Alfero
Enrico Bagli
D. Capuzzo
F. Chesani
25
7
0
13 Apr 2022
Multi-Label Clinical Time-Series Generation via Conditional GAN
Multi-Label Clinical Time-Series Generation via Conditional GAN
C. Lu
Chandan K. Reddy
Ping Wang
Dong Nie
Yue Ning
SyDa
40
26
0
10 Apr 2022
Synthesis and Execution of Communicative Robotic Movements with
  Generative Adversarial Networks
Synthesis and Execution of Communicative Robotic Movements with Generative Adversarial Networks
Luca Garello
Linda Lastrico
A. Sciutti
Nicoletta Noceti
Fulvio Mastrogiovanni
F. Rea
GAN
14
1
0
29 Mar 2022
Using Probabilistic Machine Learning to Better Model Temporal Patterns
  in Parameterizations: a case study with the Lorenz 96 model
Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model
R. Parthipan
H. Christensen
J. S. Hosking
Damon J. Wischik
AI4CE
12
8
0
28 Mar 2022
Driving Anomaly Detection Using Conditional Generative Adversarial
  Network
Driving Anomaly Detection Using Conditional Generative Adversarial Network
Yuning Qiu
Teruhisa Misu
Carlos Busso
27
4
0
15 Mar 2022
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
35
32
0
14 Mar 2022
The Health Gym: Synthetic Health-Related Datasets for the Development of
  Reinforcement Learning Algorithms
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms
N. Kuo
Mark Polizzotto
S. Finfer
Federico Garcia
Anders Sönnerborg
Maurizio Zazzi
Michael Böhm
Louisa R Jorm
S. Barbieri
OOD
38
29
0
12 Mar 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
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular
  Data Synthesis
Invertible Tabular GANs: Killing Two Birds with OneStone for Tabular Data Synthesis
Jaehoon Lee
Jihyeon Hyeong
Jinsung Jeon
Noseong Park
Jihoon Cho
6
26
0
08 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
21
96
0
06 Feb 2022
FinGAN: Generative Adversarial Network for Analytical Customer
  Relationship Management in Banking and Insurance
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance
Prateek Kate
V. Ravi
Akhilesh Gangwar
AI4TS
19
3
0
27 Jan 2022
Arrhythmia Classification using CGAN-augmented ECG Signals
Arrhythmia Classification using CGAN-augmented ECG Signals
Edmond Adib
Fatemeh Afghah
John J. Prevost
44
11
0
26 Jan 2022
Multiscale Generative Models: Improving Performance of a Generative
  Model Using Feedback from Other Dependent Generative Models
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models
Changyu Chen
Avinandan Bose
Shih-Fen Cheng
Arunesh Sinha
SyDa
AI4CE
24
0
0
24 Jan 2022
Conditional Generation of Medical Time Series for Extrapolation to
  Underrepresented Populations
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations
Simon Bing
Andrea Dittadi
Stefan Bauer
Patrick Schwab
SyDa
25
17
0
20 Jan 2022
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory
Kohei Hayashi
Kei Nakagawa
AI4TS
29
8
0
16 Jan 2022
Time Series Generation with Masked Autoencoder
Time Series Generation with Masked Autoencoder
Meng-yue Zha
SiuTim Wong
Mengqi Liu
Tong Zhang
Kani Chen
SyDa
AI4TS
27
17
0
14 Jan 2022
Data augmentation through multivariate scenario forecasting in Data
  Centers using Generative Adversarial Networks
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
J. Pérez
Patricia Arroba
Jose M. Moya
27
14
0
12 Jan 2022
Differentially Private Generative Adversarial Networks with Model
  Inversion
Differentially Private Generative Adversarial Networks with Model Inversion
Dongjie Chen
S. Cheung
Chen-Nee Chuah
Sally Ozonoff
SyDa
21
13
0
10 Jan 2022
Role of Data Augmentation Strategies in Knowledge Distillation for
  Wearable Sensor Data
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data
Eunyeong Jeon
Anirudh Som
Ankita Shukla
Kristina Hasanaj
M. Buman
Pavan Turaga
40
10
0
01 Jan 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records
  for Artificial Intelligent Applications
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
Jin Li
B. Cairns
Jingsong Li
T. Zhu
SyDa
41
69
0
22 Dec 2021
Leveraging Image-based Generative Adversarial Networks for Time Series
  Generation
Leveraging Image-based Generative Adversarial Networks for Time Series Generation
Justin Hellermann
Stefan Lessmann
GAN
AI4TS
26
4
0
15 Dec 2021
Deep Generative Models for Vehicle Speed Trajectories
Deep Generative Models for Vehicle Speed Trajectories
F. Behnia
D. Karbowski
Vadim Sokolov
38
1
0
14 Dec 2021
Synthetic ECG Signal Generation Using Generative Neural Networks
Synthetic ECG Signal Generation Using Generative Neural Networks
Edmond Adib
Fatemeh Afghah
John J. Prevost
31
20
0
05 Dec 2021
Towards Generating Real-World Time Series Data
Towards Generating Real-World Time Series Data
Hengzhi Pei
Kan Ren
Yuqing Yang
Chang-Shu Liu
Tao Qin
Dongsheng Li
AI4TS
28
33
0
16 Nov 2021
TimeVAE: A Variational Auto-Encoder for Multivariate Time Series
  Generation
TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation
Abhyuday Desai
Cynthia Freeman
Zuhui Wang
Ian Beaver
SyDa
AI4TS
15
106
0
15 Nov 2021
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Joel Frank
Lea Schonherr
DiffM
129
123
0
04 Nov 2021
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
30
16
0
02 Nov 2021
Conditional Generation of Periodic Signals with Fourier-Based Decoder
Conditional Generation of Periodic Signals with Fourier-Based Decoder
Jiyoung Lee
Heng-Chiao Huang
Daehoon Gwak
Edward Choi
16
5
0
24 Oct 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification
  under Class Imbalance
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
Grace Deng
Cuize Han
T. Dreossi
Clarence Lee
David S. Matteson
AI4TS
31
8
0
14 Oct 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in
  Decarbonized Energy Grids
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids
Xiangtian Zheng
Nan Xu
Loc Trinh
Dongqi Wu
Tong Huang
S. Sivaranjani
Yan Liu
Le Xie
AI4CE
38
43
0
12 Oct 2021
Guided-GAN: Adversarial Representation Learning for Activity Recognition
  with Wearables
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables
Alireza Abedin
Hamid Rezatofighi
Damith C. Ranasinghe
GAN
19
5
0
12 Oct 2021
A review of Generative Adversarial Networks (GANs) and its applications
  in a wide variety of disciplines -- From Medical to Remote Sensing
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
Ankan Dash
J. Ye
Guiling Wang
MedIm
AI4CE
28
89
0
01 Oct 2021
Mitigating Statistical Bias within Differentially Private Synthetic Data
Mitigating Statistical Bias within Differentially Private Synthetic Data
Sahra Ghalebikesabi
H. Wilde
Jack Jewson
Arnaud Doucet
Sandra Jeanne Vollmer
Chris Holmes
SyDa
8
7
0
24 Aug 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series
ASAT: Adaptively Scaled Adversarial Training in Time Series
Zhiyuan Zhang
Wei Li
Ruihan Bao
Keiko Harimoto
Yunfang Wu
Xu Sun
AI4TS
27
5
0
20 Aug 2021
Categorical EHR Imputation with Generative Adversarial Nets
Categorical EHR Imputation with Generative Adversarial Nets
Yinchong Yang
Zhiliang Wu
Volker Tresp
Peter A. Fasching
GAN
16
8
0
03 Aug 2021
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
Paul Jeha
Michael Bohlke-Schneider
Pedro Mercado
Shubham Kapoor
Rajbir-Singh Nirwan
Valentin Flunkert
Jan Gasthaus
Tim Januschowski
AI4TS
33
45
0
02 Aug 2021
Learning who is in the market from time series: market participant
  discovery through adversarial calibration of multi-agent simulators
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators
Victor Storchan
Svitlana Vyetrenko
T. Balch
14
11
0
02 Aug 2021
Generative adversarial networks in time series: A survey and taxonomy
Generative adversarial networks in time series: A survey and taxonomy
Eoin Brophy
Zhengwei Wang
Qi She
Tomas E. Ward
EGVM
AI4TS
17
57
0
23 Jul 2021
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