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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
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
Zachary McBride Lazri
Danial Dervovic
Antigoni Polychroniadou
Ivan Brugere
Dana Dachman-Soled
Min Wu
FaML
47
0
0
12 Mar 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTD
ALM
37
66
0
27 Feb 2024
CaPS: Collaborative and Private Synthetic Data Generation from
  Distributed Sources
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources
Sikha Pentyala
Mayana Pereira
Martine De Cock
18
1
0
13 Feb 2024
Systematic Assessment of Tabular Data Synthesis Algorithms
Systematic Assessment of Tabular Data Synthesis Algorithms
Yuntao Du
Ninghui Li
29
4
0
09 Feb 2024
TimEHR: Image-based Time Series Generation for Electronic Health Records
TimEHR: Image-based Time Series Generation for Electronic Health Records
Hojjat Karami
Mary-Anne Hartley
David Atienza
Anisoara Ionescu
24
3
0
09 Feb 2024
How Realistic Is Your Synthetic Data? Constraining Deep Generative
  Models for Tabular Data
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Mihaela C. Stoian
Salijona Dyrmishi
Maxime Cordy
Thomas Lukasiewicz
Eleonora Giunchiglia
21
14
0
07 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Pablo Lemos
Sammy N. Sharief
Nikolay Malkin
Laurence Perreault Levasseur
Y. Hezaveh
Laurence Perreault-Levasseur
Yashar Hezaveh
23
3
0
06 Feb 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
Ossi Raisa
Antti Honkela
72
0
0
06 Feb 2024
Enhancing crop classification accuracy by synthetic SAR-Optical data
  generation using deep learning
Enhancing crop classification accuracy by synthetic SAR-Optical data generation using deep learning
Ali Mirzaei
Hossein Bagheri
Iman Khosravi
11
9
0
03 Feb 2024
A primer on synthetic health data
A primer on synthetic health data
Jennifer Anne Bartell
Sander Boisen Valentin
Anders Krogh
Henning Langberg
Martin Bøgsted
29
1
0
31 Jan 2024
FinLLMs: A Framework for Financial Reasoning Dataset Generation with
  Large Language Models
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
Ziqiang Yuan
Kaiyuan Wang
Shoutai Zhu
Ye Yuan
Jingya Zhou
Yanlin Zhu
Wenqi Wei
39
5
0
19 Jan 2024
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data
  Generation and Evaluation in Learning Analytics
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
Qinyi Liu
Mohammad Khalil
Ronas Shakya
Jelena Jovanovic
22
18
0
12 Jan 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for
  Synthetic Mixed-Type Tabular Data Generation
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation
Timur Sattarov
Marco Schreyer
Damian Borth
FedML
DiffM
MedIm
17
7
0
11 Jan 2024
An Augmented Surprise-guided Sequential Learning Framework for
  Predicting the Melt Pool Geometry
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry
Ahmed Shoyeb Raihan
H. Khosravi
T. Bhuiyan
Imtiaz Ahmed
AI4CE
17
7
0
10 Jan 2024
Transfer-Learning-Based Autotuning Using Gaussian Copula
Transfer-Learning-Based Autotuning Using Gaussian Copula
Thomas Randall
Jaehoon Koo
B. Videau
Michael Kruse
Xingfu Wu
P. Hovland
Mary W. Hall
Rong Ge
Prasanna Balaprakash
25
3
0
09 Jan 2024
SynHING: Synthetic Heterogeneous Information Network Generation for
  Graph Learning and Explanation
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
Ming-Yi Hong
Yi-Hsiang Huang
Shao-En Lin
You-Chen Teng
Chih-Yu Wang
Che Lin
37
0
0
07 Jan 2024
Weakly Augmented Variational Autoencoder in Time Series Anomaly
  Detection
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection
Zhangkai Wu
LongBing Cao
Qi Zhang
Junxian Zhou
Hui Chen
41
3
0
07 Jan 2024
Adversarial Machine Learning-Enabled Anonymization of OpenWiFi Data
Adversarial Machine Learning-Enabled Anonymization of OpenWiFi Data
Samhita Kuili
Kareem Dabbour
Irtiza Hasan
Andrea Herscovich
B. Kantarci
Marcel Chenier
Melike Erol-Kantarci
13
0
0
03 Jan 2024
Downstream Task-Oriented Generative Model Selections on Synthetic Data
  Training for Fraud Detection Models
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models
Yinan Cheng
ChiHua Wang
Vamsi K. Potluru
T. Balch
Guang Cheng
17
7
0
01 Jan 2024
A self-attention-based differentially private tabular GAN with high data
  utility
A self-attention-based differentially private tabular GAN with high data utility
Zijian Li
Zhihui Wang
18
1
0
20 Dec 2023
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation
  in low-data regimes
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
Nabeel Seedat
Nicolas Huynh
B. V. Breugel
M. Schaar
23
25
0
19 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller
Kathrin Gruber
Dennis Fok
DiffM
53
5
0
16 Dec 2023
TabMT: Generating tabular data with masked transformers
TabMT: Generating tabular data with masked transformers
Manbir Gulati
Paul F. Roysdon
LMTD
45
33
0
11 Dec 2023
DiSK: A Diffusion Model for Structured Knowledge
DiSK: A Diffusion Model for Structured Knowledge
O. Kitouni
Niklas Nolte
James Hensman
Bhaskar Mitra
DiffM
25
3
0
08 Dec 2023
Balanced Marginal and Joint Distributional Learning via Mixture
  Cramer-Wold Distance
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance
SeungHwan An
Sungchul Hong
Jong-June Jeon
21
0
0
06 Dec 2023
Synthetic Data Generation Techniques for Developing AI-based Speech
  Assessments for Parkinson's Disease (A Comparative Study)
Synthetic Data Generation Techniques for Developing AI-based Speech Assessments for Parkinson's Disease (A Comparative Study)
M. Parsapoor
13
0
0
04 Dec 2023
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain
  Credit Assessment Cold Start
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start
Jie Shi
A. Siebes
S. Mehrkanoon
29
0
0
30 Nov 2023
Privacy Measurement in Tabular Synthetic Data: State of the Art and
  Future Research Directions
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions
Alexander Boudewijn
Andrea Filippo Ferraris
D. Panfilo
Vanessa Cocca
Sabrina Zinutti
Karel De Schepper
Carlo Rossi Chauvenet
34
2
0
29 Nov 2023
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules
  for Secure and Confidential Data Synthesis
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
Anantaa Kotal
Lavanya Elluri
Deepti Gupta
V. Mandalapu
Anupam Joshi
6
5
0
27 Nov 2023
From Principle to Practice: Vertical Data Minimization for Machine
  Learning
From Principle to Practice: Vertical Data Minimization for Machine Learning
Robin Staab
Nikola Jovanović
Mislav Balunović
Martin Vechev
34
5
0
17 Nov 2023
SurvTimeSurvival: Survival Analysis On The Patient With Multiple
  Visits/Records
SurvTimeSurvival: Survival Analysis On The Patient With Multiple Visits/Records
Le Hung
Eng-Jon Ong
Miroslaw Bober
29
1
0
16 Nov 2023
SynDiffix: More accurate synthetic structured data
SynDiffix: More accurate synthetic structured data
Paul Francis
Cristian Berneanu
Edon Gashi
30
1
0
16 Nov 2023
arfpy: A python package for density estimation and generative modeling
  with adversarial random forests
arfpy: A python package for density estimation and generative modeling with adversarial random forests
Kristin Blesch
Marvin N. Wright
19
2
0
13 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive
  Attributes
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
Jinwon Sohn
Qifan Song
Guang Lin
FaML
34
1
0
10 Nov 2023
ShipGen: A Diffusion Model for Parametric Ship Hull Generation with
  Multiple Objectives and Constraints
ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints
Noah J. Bagazinski
Faez Ahmed
35
8
0
09 Nov 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
Derek Lilienthal
Paul Mello
Magdalini Eirinaki
Stas Tiomkin
SyDa
DiffM
24
3
0
06 Nov 2023
Time-series Generation by Contrastive Imitation
Time-series Generation by Contrastive Imitation
Daniel Jarrett
Ioana Bica
M. Schaar
AI4TS
13
24
0
02 Nov 2023
A Review and Roadmap of Deep Causal Model from Different Causal
  Structures and Representations
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations
Hang Chen
Keqing Du
Chenguang Li
Xinyu Yang
49
2
0
02 Nov 2023
MMM and MMMSynth: Clustering of heterogeneous tabular data, and
  synthetic data generation
MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation
Chandrani Kumari
Rahul Siddharthan
13
0
0
30 Oct 2023
Assessment of Differentially Private Synthetic Data for Utility and
  Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Mayana Pereira
Meghana Kshirsagar
S. Mukherjee
Rahul Dodhia
J. L. Ferres
Rafael de Sousa
SyDa
40
11
0
30 Oct 2023
TRIAGE: Characterizing and auditing training data for improved
  regression
TRIAGE: Characterizing and auditing training data for improved regression
Nabeel Seedat
Jonathan Crabbé
Zhaozhi Qian
M. Schaar
13
5
0
29 Oct 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A
  Comprehensive Benchmark
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
Lasse Hansen
Nabeel Seedat
M. Schaar
Andrija Petrović
44
19
0
25 Oct 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with
  Synthetic Test Data
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
B. V. Breugel
Nabeel Seedat
F. Imrie
M. Schaar
SyDa
24
19
0
25 Oct 2023
Joint Distributional Learning via Cramer-Wold Distance
Joint Distributional Learning via Cramer-Wold Distance
SeungHwan An
Jong-June Jeon
32
0
0
25 Oct 2023
AutoDiff: combining Auto-encoder and Diffusion model for tabular data
  synthesizing
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing
Namjoon Suh
Xiaofeng Lin
Din-Yin Hsieh
Merhdad Honarkhah
Guang Cheng
19
16
0
24 Oct 2023
A Distributed Approach to Meteorological Predictions: Addressing Data
  Imbalance in Precipitation Prediction Models through Federated Learning and
  GANs
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs
Elaheh Jafarigol
Theodore Trafalis
21
7
0
19 Oct 2023
TabuLa: Harnessing Language Models for Tabular Data Synthesis
TabuLa: Harnessing Language Models for Tabular Data Synthesis
Zilong Zhao
Robert Birke
Lydia Y. Chen
LMTD
32
29
0
19 Oct 2023
Black-Box Training Data Identification in GANs via Detector Networks
Black-Box Training Data Identification in GANs via Detector Networks
Lukman Olagoke
Salil P. Vadhan
Seth Neel
21
0
0
18 Oct 2023
Differentially Private Data Generation with Missing Data
Differentially Private Data Generation with Missing Data
Shubhankar Mohapatra
Jianqiao Zong
F. Kerschbaum
Xi He
SyDa
17
1
0
17 Oct 2023
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent
  Space
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang
Jiani Zhang
Balasubramaniam Srinivasan
Zhengyuan Shen
Xiao Qin
Christos Faloutsos
Huzefa Rangwala
George Karypis
DiffM
29
81
0
14 Oct 2023
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