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Modeling Tabular data using Conditional GAN

Modeling Tabular data using Conditional GAN

1 July 2019
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
    CML
    MU
    SyDa
    GAN
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Papers citing "Modeling Tabular data using Conditional GAN"

50 / 429 papers shown
Title
Effect of Balancing Data Using Synthetic Data on the Performance of
  Machine Learning Classifiers for Intrusion Detection in Computer Networks
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
Ayesha S. Dina
A. Siddique
D. Manivannan
13
52
0
01 Apr 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0
  Applications
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
Blavz Fortuna
Dunja Mladenić
John Soldatos
3DV
AI4CE
32
119
0
21 Mar 2022
Conditional Synthetic Data Generation for Personal Thermal Comfort
  Models
Conditional Synthetic Data Generation for Personal Thermal Comfort Models
Hari Prasanna Das
C. Spanos
SyDa
AI4CE
16
2
0
10 Mar 2022
Faking feature importance: A cautionary tale on the use of
  differentially-private synthetic data
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Oscar Giles
Kasra Hosseini
Grigorios Mingas
Oliver Strickson
Louise A. Bowler
...
A. Heppenstall
N. Lomax
N. Malleson
Martin O'Reilly
Sebastian Vollmerteke
21
8
0
02 Mar 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
Redactor: A Data-centric and Individualized Defense Against Inference
  Attacks
Redactor: A Data-centric and Individualized Defense Against Inference Attacks
Geon Heo
Steven Euijong Whang
AAML
15
2
0
07 Feb 2022
Generative Modeling of Complex Data
Generative Modeling of Complex Data
Luca Canale
Nicolas Grislain
Grégoire Lothe
Johanne Leduc
SyDa
12
4
0
04 Feb 2022
Electra: Conditional Generative Model based Predicate-Aware Query
  Approximation
Electra: Conditional Generative Model based Predicate-Aware Query Approximation
Nikhil Sheoran
Subrata Mitra
Vibhor Porwal
Siddharth Ghetia
Jatin Varshney
Tung Mai
Anup B. Rao
Vikas Maddukuri
32
11
0
28 Jan 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
8
3
0
27 Jan 2022
Generative Trees: Adversarial and Copycat
Generative Trees: Adversarial and Copycat
Richard Nock
Mathieu Guillame-Bert
24
5
0
26 Jan 2022
Synthesising Electronic Health Records: Cystic Fibrosis Patient Group
Synthesising Electronic Health Records: Cystic Fibrosis Patient Group
E. Muller
Xu Zheng
Jer Hayes
26
2
0
14 Jan 2022
FROTE: Feedback Rule-Driven Oversampling for Editing Models
FROTE: Feedback Rule-Driven Oversampling for Editing Models
Öznur Alkan
Dennis L. Wei
Massimiliano Mattetti
Rahul Nair
Elizabeth M. Daly
Diptikalyan Saha
13
8
0
04 Jan 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Yuchao Tao
Ryan McKenna
Michael Hay
Ashwin Machanavajjhala
G. Miklau
SyDa
28
82
0
16 Dec 2021
Imbalanced Sample Generation and Evaluation for Power System Transient
  Stability Using CTGAN
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN
Gengshi Han
Shunyu Liu
Kaixuan Chen
Na Yu
Zunlei Feng
Min-Gyoo Song
14
11
0
16 Dec 2021
Generative Adversarial Networks for Synthetic Data Generation: A
  Comparative Study
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study
C. Little
Mark Elliot
Richard Allmendinger
Sahel Shariati Samani
21
20
0
03 Dec 2021
MCCE: Monte Carlo sampling of realistic counterfactual explanations
MCCE: Monte Carlo sampling of realistic counterfactual explanations
Annabelle Redelmeier
Martin Jullum
K. Aas
Anders Løland
BDL
26
11
0
18 Nov 2021
Bi-Discriminator Class-Conditional Tabular GAN
Bi-Discriminator Class-Conditional Tabular GAN
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
13
12
0
12 Nov 2021
Improving Model Compatibility of Generative Adversarial Networks by
  Boundary Calibration
Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration
Si-An Chen
Chun-Liang Li
Hsuan-Tien Lin
GAN
12
0
0
03 Nov 2021
Data Synthesis for Testing Black-Box Machine Learning Models
Data Synthesis for Testing Black-Box Machine Learning Models
Diptikalyan Saha
Aniya Aggarwal
Sandeep Hans
15
4
0
03 Nov 2021
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time
  Augmentation
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Seffi Cohen
Niv Goldshlager
L. Rokach
Bracha Shapira
18
9
0
29 Oct 2021
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft
  Detection in Smart Grid
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid
Yogesh Kulkarni
Sayf Hussain Z
K. Ramamritham
Nivethitha Somu
20
5
0
09 Oct 2021
Deep Neural Networks and Tabular Data: A Survey
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
27
646
0
05 Oct 2021
Implicit Generative Copulas
Implicit Generative Copulas
Tim Janke
M. Ghanmi
F. Steinke
35
17
0
29 Sep 2021
Synthetic Data Generation for Fraud Detection using GANs
Synthetic Data Generation for Fraud Detection using GANs
C. Charitou
S. Dragicevic
Artur Garcez
12
19
0
26 Sep 2021
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial
  Networks
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks
Amirarsalan Rajabi
O. Garibay
GAN
24
54
0
02 Sep 2021
Mitigating Greenhouse Gas Emissions Through Generative Adversarial
  Networks Based Wildfire Prediction
Mitigating Greenhouse Gas Emissions Through Generative Adversarial Networks Based Wildfire Prediction
Sifat M. Chowdhury
Kai Zhu
Y. Zhang
14
2
0
20 Aug 2021
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
Zilong Zhao
Robert Birke
A. Kunar
L. Chen
FedML
15
22
0
18 Aug 2021
Effective and Privacy preserving Tabular Data Synthesizing
Effective and Privacy preserving Tabular Data Synthesizing
A. Kunar
15
5
0
11 Aug 2021
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized
  Tabular Data Releasing
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing
Aoting Hu
Renjie Xie
Zhigang Lu
A. Hu
Minhui Xue
MIACV
18
15
0
28 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities
Generative Models for Security: Attacks, Defenses, and Opportunities
L. A. Bauer
Vincent Bindschaedler
23
4
0
21 Jul 2021
AutoScore-Imbalance: An interpretable machine learning tool for
  development of clinical scores with rare events data
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan
F. Xie
M. Ong
Yilin Ning
M. Chee
S. Saffari
H. Abdullah
B. Goldstein
B. Chakraborty
Nan Liu
17
19
0
13 Jul 2021
DTGAN: Differential Private Training for Tabular GANs
DTGAN: Differential Private Training for Tabular GANs
A. Kunar
Robert Birke
Zilong Zhao
L. Chen
17
11
0
06 Jul 2021
Model-Based Counterfactual Synthesizer for Interpretation
Model-Based Counterfactual Synthesizer for Interpretation
Fan Yang
Sahan Suresh Alva
Jiahao Chen
X. Hu
12
30
0
16 Jun 2021
An Analysis of the Deployment of Models Trained on Private Tabular
  Synthetic Data: Unexpected Surprises
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Mayana Pereira
Meghana Kshirsagar
S. Mukherjee
Rahul Dodhia
J. L. Ferres
14
9
0
15 Jun 2021
PEARL: Data Synthesis via Private Embeddings and Adversarial
  Reconstruction Learning
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
Seng Pei Liew
Tsubasa Takahashi
Michihiko Ueno
FedML
16
29
0
08 Jun 2021
OCT-GAN: Neural ODE-based Conditional Tabular GANs
OCT-GAN: Neural ODE-based Conditional Tabular GANs
Jayoung Kim
Jinsung Jeon
Jaehoon Lee
Jihyeon Hyeong
Noseong Park
23
37
0
31 May 2021
Synthesising Multi-Modal Minority Samples for Tabular Data
Synthesising Multi-Modal Minority Samples for Tabular Data
Sajad Darabi
Yotam Elor
14
10
0
17 May 2021
Transitioning from Real to Synthetic data: Quantifying the bias in model
Transitioning from Real to Synthetic data: Quantifying the bias in model
Aman Gupta
Deepak L. Bhatt
Anubha Pandey
17
17
0
10 May 2021
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial
  Networks
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks
Bingyang Wen
Luis Oliveros Colon
K. P. Subbalakshmi
R. Chandramouli
CML
GAN
38
18
0
21 Apr 2021
Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic
  Data
Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data
Michaela D. Platzer
Thomas Reutterer
14
3
0
01 Apr 2021
BIKED: A Dataset for Computational Bicycle Design with Machine Learning
  Benchmarks
BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks
Lyle Regenwetter
Brent Curry
Faez Ahmed
16
33
0
10 Mar 2021
Sibyl: Understanding and Addressing the Usability Challenges of Machine
  Learning In High-Stakes Decision Making
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making
Alexandra Zytek
Dongyu Liu
R. Vaithianathan
K. Veeramachaneni
17
45
0
02 Mar 2021
On Meritocracy in Optimal Set Selection
On Meritocracy in Optimal Set Selection
Thomas Kleine Buening
Meirav Segal
D. Basu
Christos Dimitrakakis
Anne-Marie George
15
2
0
23 Feb 2021
Composable Generative Models
Composable Generative Models
Johan Leduc
Nicolas Grislain
SyDa
33
4
0
18 Feb 2021
CTAB-GAN: Effective Table Data Synthesizing
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao
A. Kunar
H. V. D. Scheer
Robert Birke
L. Chen
CML
123
198
0
16 Feb 2021
Detecting Malicious Accounts showing Adversarial Behavior in
  Permissionless Blockchains
Detecting Malicious Accounts showing Adversarial Behavior in Permissionless Blockchains
R. Agarwal
T. Thapliyal
S. Shukla
MLAU
AAML
16
7
0
28 Jan 2021
Conditional Generative Models for Counterfactual Explanations
Conditional Generative Models for Counterfactual Explanations
A. V. Looveren
Janis Klaise
G. Vacanti
Oliver Cobb
CML
17
29
0
25 Jan 2021
Copula Flows for Synthetic Data Generation
Copula Flows for Synthetic Data Generation
Sanket Kamthe
Samuel A. Assefa
M. Deisenroth
67
50
0
03 Jan 2021
Differentially Private Synthetic Medical Data Generation using
  Convolutional GANs
Differentially Private Synthetic Medical Data Generation using Convolutional GANs
A. Torfi
Edward A. Fox
Chandan K. Reddy
SyDa
MedIm
19
118
0
22 Dec 2020
Enabling Collaborative Data Science Development with the Ballet
  Framework
Enabling Collaborative Data Science Development with the Ballet Framework
Micah J. Smith
Jürgen Cito
Kelvin Lu
K. Veeramachaneni
20
8
0
14 Dec 2020
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