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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
FairGen: Fair Synthetic Data Generation
FairGen: Fair Synthetic Data Generation
B. Chaudhari
Himanshu Choudhary
Aakash Agarwal
Kamna Meena
Tanmoy Bhowmik
21
3
0
24 Oct 2022
Evaluation of the Synthetic Electronic Health Records
Evaluation of the Synthetic Electronic Health Records
E. Muller
Xu Zheng
Jer Hayes
ELM
14
1
0
16 Oct 2022
G2A2: An Automated Graph Generator with Attributes and Anomalies
G2A2: An Automated Graph Generator with Attributes and Anomalies
S. Dey
Sonal Jha
Wu-chun Feng
26
0
0
14 Oct 2022
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Han Wu
Zilong Zhao
L. Chen
Aad van Moorsel
FedML
17
7
0
13 Oct 2022
Language Models are Realistic Tabular Data Generators
Language Models are Realistic Tabular Data Generators
V. Borisov
Kathrin Seßler
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
LMTD
22
223
0
12 Oct 2022
FCT-GAN: Enhancing Table Synthesis via Fourier Transform
FCT-GAN: Enhancing Table Synthesis via Fourier Transform
Zilong Zhao
Robert Birke
L. Chen
18
7
0
12 Oct 2022
Detect, Distill and Update: Learned DB Systems Facing Out of
  Distribution Data
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
M. Kurmanji
Peter Triantafillou
OOD
AAML
28
18
0
11 Oct 2022
PromptEHR: Conditional Electronic Healthcare Records Generation with
  Prompt Learning
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
Zifeng Wang
Jimeng Sun
19
29
0
11 Oct 2022
fAux: Testing Individual Fairness via Gradient Alignment
fAux: Testing Individual Fairness via Gradient Alignment
Giuseppe Castiglione
Ga Wu
C. Srinivasa
Simon J. D. Prince
13
3
0
10 Oct 2022
STaSy: Score-based Tabular data Synthesis
STaSy: Score-based Tabular data Synthesis
Jayoung Kim
C. Lee
Noseong Park
DiffM
56
59
0
08 Oct 2022
Conditional Feature Importance for Mixed Data
Conditional Feature Importance for Mixed Data
Kristin Blesch
David S. Watson
Marvin N. Wright
50
7
0
06 Oct 2022
ciDATGAN: Conditional Inputs for Tabular GANs
ciDATGAN: Conditional Inputs for Tabular GANs
Gael Lederrey
T. Hillel
M. Bierlaire
GAN
11
2
0
05 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation
A Framework for Large Scale Synthetic Graph Dataset Generation
Sajad Darabi
P. Bigaj
Dawid Majchrowski
Artur Kasymov
Pawel M. Morkisz
A. Fit-Florea
30
4
0
04 Oct 2022
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided
  Asynchronous Bayesian Optimization
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization
Matthieu Dorier
Romain Egele
Prasanna Balaprakash
Jaehoon Koo
Sandeep Madireddy
Srinivasan Ramesh
A. Malony
R. Ross
14
9
0
03 Oct 2022
iCTGAN--An Attack Mitigation Technique for Random-vector Attack on
  Accelerometer-based Gait Authentication Systems
iCTGAN--An Attack Mitigation Technique for Random-vector Attack on Accelerometer-based Gait Authentication Systems
J. Mo
Rajesh Kumar
13
2
0
02 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models
TabDDPM: Modelling Tabular Data with Diffusion Models
Akim Kotelnikov
Dmitry Baranchuk
Ivan Rubachev
Artem Babenko
DiffM
58
239
0
30 Sep 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Salim I. Amoukou
Nicolas Brunel
26
0
0
29 Sep 2022
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive
  Survey
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
Xiaodan Xing
Huanjun Wu
Lichao Wang
Iain Stenson
M. Yong
Javier Del Ser
Simon Walsh
Guang Yang
21
7
0
17 Sep 2022
Artificial Intelligence for In Silico Clinical Trials: A Review
Artificial Intelligence for In Silico Clinical Trials: A Review
Zifeng Wang
Chufan Gao
Lucas Glass
Jimeng Sun
24
12
0
16 Sep 2022
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Guangyi Liu
Jie-jin Yang
Ledell Yu Wu
LMTD
65
34
0
15 Sep 2022
Concept-Based Explanations for Tabular Data
Concept-Based Explanations for Tabular Data
Varsha Pendyala
Jihye Choi
FaML
XAI
FAtt
26
2
0
13 Sep 2022
Machine Learning Models Evaluation and Feature Importance Analysis on
  NPL Dataset
Machine Learning Models Evaluation and Feature Importance Analysis on NPL Dataset
Rufael Fekadu
Anteneh Getachew
Yishak Tadele
Nuredin Ali Abdelkadir
Israel Goytom
19
3
0
28 Aug 2022
Epistemic Parity: Reproducibility as an Evaluation Metric for
  Differential Privacy
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy
Lucas Rosenblatt
Bernease Herman
Anastasia Holovenko
Wonkwon Lee
Joshua R. Loftus
Elizabeth McKinnie
Taras Rumezhak
Andrii Stadnik
Bill Howe
Julia Stoyanovich
32
5
0
26 Aug 2022
Extreme Gradient Boosting for Yield Estimation compared with Deep
  Learning Approaches
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
Florian Huber
Artem Yushchenko
Benedikt Stratmann
Volker Steinhage
22
65
0
26 Aug 2022
Towards Automated Imbalanced Learning with Deep Hierarchical
  Reinforcement Learning
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning
Daochen Zha
Kwei-Herng Lai
Qiaoyu Tan
Sirui Ding
Na Zou
Xia Hu
AI4TS
11
18
0
26 Aug 2022
An Empirical Study on the Membership Inference Attack against Tabular
  Data Synthesis Models
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models
Jihyeon Hyeong
Jayoung Kim
Noseong Park
S. Jajodia
MIACV
19
13
0
17 Aug 2022
Customs Import Declaration Datasets
Customs Import Declaration Datasets
Chae-Seong Jeong
Sundong Kim
Jaewoo Park
Yeonsoo Choi
21
3
0
04 Aug 2022
Sequential Models in the Synthetic Data Vault
Sequential Models in the Synthetic Data Vault
K. Zhang
Neha Patki
K. Veeramachaneni
SyDa
15
18
0
28 Jul 2022
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
29
28
0
19 Jul 2022
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular
  Data
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
M. Lahoti
Pratik Narang
15
28
0
12 Jul 2022
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples
  of Microdata
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata
C. Little
Mark Elliot
Richard Allmendinger
11
9
0
02 Jul 2022
Improving Correlation Capture in Generating Imbalanced Data using
  Differentially Private Conditional GANs
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
Chang Sun
J. V. Soest
Michel Dumontier
SyDa
23
2
0
28 Jun 2022
ConvGeN: Convex space learning improves deep-generative oversampling for
  tabular imbalanced classification on smaller datasets
ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets
Kristian Schultz
Saptarshi Bej
Waldemar Hahn
M. Wolfien
P. Srivastava
Olaf Wolkenhauer
DiffM
4
3
0
20 Jun 2022
Learning Fair Representation via Distributional Contrastive
  Disentanglement
Learning Fair Representation via Distributional Contrastive Disentanglement
Changdae Oh
Heeji Won
Junhyuk So
Taero Kim
Yewon Kim
Hosik Choi
Kyungwoo Song
FaML
CoGe
CML
DRL
18
40
0
17 Jun 2022
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
17
34
0
17 Jun 2022
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models
  in Design
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design
Lyle Regenwetter
Faez Ahmed
AI4CE
22
2
0
14 Jun 2022
Private Synthetic Data with Hierarchical Structure
Private Synthetic Data with Hierarchical Structure
Terrance Liu
Zhiwei Steven Wu
SyDa
17
3
0
13 Jun 2022
Releasing survey microdata with exact cluster locations and additional
  privacy safeguards
Releasing survey microdata with exact cluster locations and additional privacy safeguards
Till Koebe
Alejandra Arias-Salazar
16
2
0
24 May 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular
  Data Synthesis
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
GAN
14
2
0
24 May 2022
Time-series Transformer Generative Adversarial Networks
Time-series Transformer Generative Adversarial Networks
Padmanaba Srinivasan
William J. Knottenbelt
AI4TS
21
13
0
23 May 2022
A Dynamic Weighted Tabular Method for Convolutional Neural Networks
A Dynamic Weighted Tabular Method for Convolutional Neural Networks
Md Ifraham Iqbal
Md. Saddam Hossain Mukta
Ahmed Rafi Hasan
LMTD
19
11
0
20 May 2022
Adversarial random forests for density estimation and generative
  modeling
Adversarial random forests for density estimation and generative modeling
David S. Watson
Kristin Blesch
Jan Kapar
Marvin N. Wright
GAN
65
19
0
19 May 2022
Lessons Learned: Defending Against Property Inference Attacks
Lessons Learned: Defending Against Property Inference Attacks
Joshua Stock
Jens Wettlaufer
Daniel Demmler
Hannes Federrath
AAML
21
1
0
18 May 2022
Evaluating the Fairness Impact of Differentially Private Synthetic Data
Evaluating the Fairness Impact of Differentially Private Synthetic Data
Blake Bullwinkel
Kristen Grabarz
Lily Ke
Scarlett Gong
Christy Tanner
Joshua Allen
SyDa
15
8
0
09 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
40
109
0
06 May 2022
Design Target Achievement Index: A Differentiable Metric to Enhance Deep
  Generative Models in Multi-Objective Inverse Design
Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design
Lyle Regenwetter
Faez Ahmed
17
7
0
06 May 2022
On Disentangled and Locally Fair Representations
On Disentangled and Locally Fair Representations
Yaron Gurovich
Sagie Benaim
Lior Wolf
FaML
6
0
0
05 May 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
32
25
0
10 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
21
38
0
10 Apr 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis
CTAB-GAN+: Enhancing Tabular Data Synthesis
Zilong Zhao
A. Kunar
Robert Birke
L. Chen
27
78
0
01 Apr 2022
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