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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 / 323 papers shown
Title
Data Augmentation of IMU Signals and Evaluation via a Semi-Supervised
  Classification of Driving Behavior
Data Augmentation of IMU Signals and Evaluation via a Semi-Supervised Classification of Driving Behavior
Amani Jaafer
Gustav Nilsson
Giacomo Como
16
9
0
16 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu
L. Wenliang
Michael Munn
Beatrice Acciaio
GAN
CML
20
93
0
15 Jun 2020
Exploring the Vulnerability of Deep Neural Networks: A Study of
  Parameter Corruption
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
Xu Sun
Zhiyuan Zhang
Xuancheng Ren
Ruixuan Luo
Liangyou Li
30
39
0
10 Jun 2020
Conditional Sig-Wasserstein GANs for Time Series Generation
Conditional Sig-Wasserstein GANs for Time Series Generation
Shujian Liao
Hao Ni
Lukasz Szpruch
Magnus Wiese
Marc Sabate Vidales
Baoren Xiao
GAN
AI4TS
13
0
0
09 Jun 2020
Generation of Differentially Private Heterogeneous Electronic Health
  Records
Generation of Differentially Private Heterogeneous Electronic Health Records
Kieran Chin-Cheong
Thomas M. Sutter
Julia E. Vogt
SyDa
8
6
0
05 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
36
17
0
27 May 2020
Approaches and Applications of Early Classification of Time Series: A
  Review
Approaches and Applications of Early Classification of Time Series: A Review
Ashish Gupta
Hari Prabhat Gupta
Bhaskar Biswas
Tanima Dutta
AI4TS
30
80
0
06 May 2020
Deep convolutional generative adversarial networks for traffic data
  imputation encoding time series as images
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images
Tongge Huang
Pranamesh Chakraborty
Anuj Sharma
AI4TS
19
35
0
05 May 2020
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast
  With GAN
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN
Alireza Koochali
Andreas Dengel
Sheraz Ahmed
AI4TS
36
31
0
03 May 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
25
176
0
21 Apr 2020
A Non-Parametric Test to Detect Data-Copying in Generative Models
A Non-Parametric Test to Detect Data-Copying in Generative Models
Casey Meehan
Kamalika Chaudhuri
S. Dasgupta
23
63
0
12 Apr 2020
Mixture Density Conditional Generative Adversarial Network Models
  (MD-CGAN)
Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)
Jaleh Zand
Stephen J. Roberts
GAN
AI4TS
25
4
0
08 Apr 2020
GANs with Conditional Independence Graphs: On Subadditivity of
  Probability Divergences
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding
C. Daskalakis
S. Feizi
GAN
32
2
0
02 Mar 2020
Generating EEG features from Acoustic features
Generating EEG features from Acoustic features
G. Krishna
Co Tran
Mason Carnahan
Yan Han
Ahmed H. Tewfik
GAN
14
11
0
29 Feb 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
32
636
0
27 Feb 2020
A Novel Framework for Selection of GANs for an Application
A Novel Framework for Selection of GANs for an Application
Tanya Motwani
Manojkumar Somabhai Parmar
27
8
0
20 Feb 2020
Controlled time series generation for automotive software-in-the-loop
  testing using GANs
Controlled time series generation for automotive software-in-the-loop testing using GANs
Dhasarathy Parthasarathy
Karl Bäckström
Jens Henriksson
S. Einarsdóttir
5
12
0
16 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
33
821
0
20 Jan 2020
Visual Evaluation of Generative Adversarial Networks for Time Series
  Data
Visual Evaluation of Generative Adversarial Networks for Time Series Data
Hiba Arnout
J. Kehrer
Johanna Bronner
Thomas Runkler
AI4TS
EGVM
17
8
0
23 Dec 2019
Generative Synthesis of Insurance Datasets
Generative Synthesis of Insurance Datasets
Kevin Kuo
16
15
0
05 Dec 2019
This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver
  Identification with Generative Adversarial Networks
This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks
Kyung Ho Park
H. Kim
20
8
0
22 Nov 2019
Generative Models for Effective ML on Private, Decentralized Datasets
Generative Models for Effective ML on Private, Decentralized Datasets
S. Augenstein
H. B. McMahan
Daniel Ramage
Swaroop Indra Ramaswamy
Peter Kairouz
Mingqing Chen
Rajiv Mathews
Blaise Agüera y Arcas
SyDa
32
182
0
15 Nov 2019
Synthetic Event Time Series Health Data Generation
Synthetic Event Time Series Health Data Generation
Saloni Dash
Ritik Dutta
Isabelle M Guyon
Adrien Pavao
Andrew Yale
Kristin P. Bennett
11
15
0
14 Nov 2019
Privacy and Utility Preserving Sensor-Data Transformations
Privacy and Utility Preserving Sensor-Data Transformations
Mohammad Malekzadeh
R. Clegg
Andrea Cavallaro
Hamed Haddadi
25
32
0
14 Nov 2019
Full-Scale Continuous Synthetic Sonar Data Generation with Markov
  Conditional Generative Adversarial Networks
Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks
Marija Jegorova
Antti Ilari Karjalainen
Jose Vazquez
Timothy Hospedales
8
12
0
15 Oct 2019
Differentially Private Survival Function Estimation
Differentially Private Survival Function Estimation
Lovedeep Gondara
Ke Wang
6
5
0
04 Oct 2019
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
Daniel de Souza Severo
Flávio Amaro
Estevam R. Hruschka
André Soares de Moura Costa
CML
13
4
0
02 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
29
84
0
30 Sep 2019
Using GANs for Sharing Networked Time Series Data: Challenges, Initial
  Promise, and Open Questions
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Zinan Lin
Alankar Jain
Chen Wang
Giulia Fanti
Vyas Sekar
28
22
0
30 Sep 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Synthesis of Realistic ECG using Generative Adversarial Networks
Synthesis of Realistic ECG using Generative Adversarial Networks
Anne Marie Delaney
Eoin Brophy
T. Ward
32
79
0
19 Sep 2019
TorchGAN: A Flexible Framework for GAN Training and Evaluation
TorchGAN: A Flexible Framework for GAN Training and Evaluation
Avik Pal
Aniket Das
27
15
0
08 Sep 2019
Synthetic Epileptic Brain Activities Using Generative Adversarial
  Networks
Synthetic Epileptic Brain Activities Using Generative Adversarial Networks
Damian Pascual
A. Aminifar
David Atienza Alonso
P. Ryvlin
Roger Wattenhofer
GAN
24
11
0
22 Jul 2019
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
33
274
0
15 Jul 2019
Recurrent Adversarial Service Times
Recurrent Adversarial Service Times
C. Ojeda
Kostadin Cvejosky
Ramses J. Sanchez
J. Schücker
B. Georgiev
Christian Bauckhage
BDL
AI4TS
21
0
0
24 Jun 2019
Real-Time Privacy-Preserving Data Release for Smart Meters
Real-Time Privacy-Preserving Data Release for Smart Meters
Mohammadhadi Shateri
Francisco Messina
Pablo Piantanida
Fabrice Labeau
20
38
0
14 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedIm
EGVM
29
90
0
04 Jun 2019
Classification Accuracy Score for Conditional Generative Models
Classification Accuracy Score for Conditional Generative Models
Suman V. Ravuri
Oriol Vinyals
EGVM
27
231
0
26 May 2019
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea
  Detection
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection
K. Nikolaidis
Stein Kristiansen
V. Goebel
T. Plagemann
Knut Liestøl
Mohan S. Kankanhalli
AI4TS
14
22
0
22 May 2019
Biosignal Generation and Latent Variable Analysis with Recurrent
  Generative Adversarial Networks
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks
S. Harada
Hideaki Hayashi
S. Uchida
GAN
27
21
0
17 May 2019
Model-Free Reinforcement Learning for Financial Portfolios: A Brief
  Survey
Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey
Yoshiharu Sato
OffRL
24
32
0
10 Apr 2019
Interaction-aware Multi-agent Tracking and Probabilistic Behavior
  Prediction via Adversarial Learning
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
Jiachen Li
Hengbo Ma
Masayoshi Tomizuka
27
56
0
04 Apr 2019
Differentially Private Model Publishing for Deep Learning
Differentially Private Model Publishing for Deep Learning
Lei Yu
Ling Liu
C. Pu
Mehmet Emre Gursoy
Stacey Truex
FedML
15
264
0
03 Apr 2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial
  Networks - ForGAN
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN
Alireza Koochali
P. Schichtel
Sheraz Ahmed
Andreas Dengel
AI4TS
22
73
0
29 Mar 2019
Quick and Easy Time Series Generation with Established Image-based GANs
Quick and Easy Time Series Generation with Established Image-based GANs
Eoin Brophy
Zhengwei Wang
T. Ward
AI4TS
24
39
0
14 Feb 2019
Deep Convolutional Neural Network for Automated Detection of Mind
  Wandering using EEG Signals
Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals
Seyedroohollah Hosseini
Xuan Guo
16
15
0
05 Feb 2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio
  Optimization
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization
Pengqian Yu
J. Lee
Ilya Kulyatin
Zekun Shi
Sakyasingha Dasgupta
11
64
0
25 Jan 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with
  Generative Adversarial Networks
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Dan Li
Dacheng Chen
Lei Shi
Baihong Jin
Jonathan Goh
See-Kiong Ng
34
762
0
15 Jan 2019
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence
  Classification
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification
Stephanie Ger
Yegna Subramanian Jambunath
Diego Klabjan
SyDa
GAN
DRL
11
7
0
08 Jan 2019
Generative Adversarial Networks for Financial Trading Strategies
  Fine-Tuning and Combination
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination
Adriano Soares Koshiyama
Nikan B. Firoozye
Philip C. Treleaven
GAN
19
86
0
07 Jan 2019
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