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2404.08254
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Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
12 April 2024
Zeyu Yang
Peikun Guo
Khadija Zanna
Akane Sano
Xiaoxue Yang
Akane Sano
DiffM
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Papers citing
"Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models"
50 / 58 papers shown
Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based Diffusion
Md. Tawfique Ihsan
Md. Rakibul Hasan Rafi
Ahmed Shoyeb Raihan
Imtiaz Ahmed
Abdullahil Azeem
DiffM
148
0
0
20 Nov 2025
Anomaly Detection and Generation with Diffusion Models: A Survey
Zehua Wang
Jing Liu
Chengfang Li
Rui Xi
W. Li
Liang Cao
Jin Wang
L. Yang
Junsong Yuan
Wei Zhou
DiffM
MedIm
245
5
0
11 Jun 2025
A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective
Zhengyu Fang
Zhimeng Jiang
Huiyuan Chen
Xiaoge Zhang
Kaiyu Tang
Xiao Li
Jing Li
TDI
259
1
0
28 May 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions
Zhong Li
Qi Huang
Lincen Yang
Jiayang Shi
Zhao Yang
Niki van Stein
Thomas Bäck
M. Leeuwen
DiffM
311
7
0
24 Feb 2025
Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation
Yunbo Long
Liming Xu
Alexandra Brintrup
264
2
0
06 Feb 2025
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
Zhengyu Fang
Zhimeng Jiang
Huiyuan Chen
Xiao Li
Jing Li
435
6
0
15 Dec 2024
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Enze Xie
Junsong Chen
Junyu Chen
Han Cai
Haotian Tang
...
Zhekai Zhang
Zhekai Zhang
Ligeng Zhu
Yaojie Lu
Song Han
VLM
332
195
0
14 Oct 2024
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation
Md Fahim Sikder
Daniel de Leng
Fredrik Heintz
230
1
0
02 Oct 2024
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
328
6
0
03 Jul 2024
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang
Jiani Zhang
Ninad Kulkarni
Zhengyuan Shen
Xiao Qin
Christos Faloutsos
Huzefa Rangwala
George Karypis
DiffM
378
183
0
14 Oct 2023
FinDiff: Diffusion Models for Financial Tabular Data Generation
International Conference on AI in Finance (ICAF), 2023
Timur Sattarov
Marco Schreyer
Damian Borth
DiffM
184
58
0
04 Sep 2023
Self-Consuming Generative Models Go MAD
International Conference on Learning Representations (ICLR), 2023
Sina Alemohammad
Josue Casco-Rodriguez
Lorenzo Luzi
Ahmed Imtiaz Humayun
Hossein Babaei
Daniel LeJeune
Ali Siahkoohi
Richard G. Baraniuk
WIGM
299
230
0
04 Jul 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
International Conference on Machine Learning (ICML), 2023
C. Lee
Jayoung Kim
Noseong Park
DiffM
242
79
0
25 Apr 2023
Text-to-image Diffusion Models in Generative AI: A Survey
Chenshuang Zhang
Chaoning Zhang
Mengchun Zhang
In So Kweon
VLM
314
380
0
14 Mar 2023
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model
Huan He
Shifan Zhao
Yuanzhe Xi
Joyce C. Ho
MedIm
DiffM
140
36
0
08 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich
Manuel Brack
Lukas Struppek
Dominik Hintersdorf
P. Schramowski
Sasha Luccioni
Kristian Kersting
298
169
0
07 Feb 2023
On the Importance of Noise Scheduling for Diffusion Models
Ting Chen
DiffM
471
200
0
26 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Neural Information Processing Systems (NeurIPS), 2023
Jian Wang
Xin-xin Lu
Yaqing Wang
De-Yu Dou
DiffM
AI4TS
282
148
0
08 Jan 2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Michal Stypulkowski
Konstantinos Vougioukas
Sen He
Maciej Ziȩba
Stavros Petridis
Maja Pantic
DiffM
272
181
0
06 Jan 2023
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Neural Information Processing Systems (NeurIPS), 2022
Sérgio Jesus
José P. Pombal
Duarte M. Alves
André F. Cruz
Pedro Saleiro
Rita P. Ribeiro
João Gama
P. Bizarro
234
44
0
24 Nov 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2022
P. Schramowski
Manuel Brack
Bjorn Deiseroth
Kristian Kersting
507
448
0
09 Nov 2022
Language Models are Realistic Tabular Data Generators
International Conference on Learning Representations (ICLR), 2022
V. Borisov
Kathrin Seßler
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
LMTD
290
333
0
12 Oct 2022
STaSy: Score-based Tabular data Synthesis
International Conference on Learning Representations (ICLR), 2022
Jayoung Kim
C. Lee
Noseong Park
DiffM
589
83
0
08 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models
International Conference on Machine Learning (ICML), 2022
Akim Kotelnikov
Dmitry Baranchuk
Ivan Rubachev
Artem Babenko
DiffM
248
404
0
30 Sep 2022
Diffusion Models Beat GANs on Topology Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Franccois Mazé
Faez Ahmed
DiffM
AI4CE
235
108
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20 Aug 2022
Bias Reducing Multitask Learning on Mental Health Prediction
Affective Computing and Intelligent Interaction (ACII), 2022
Khadija Zanna
K. Sridhar
Han Yu
Akane Sano
135
21
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07 Aug 2022
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
476
5,304
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26 Jul 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Neural Information Processing Systems (NeurIPS), 2022
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
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7,502
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23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
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High-Resolution Image Synthesis with Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
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Bjorn Ommer
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
International Conference on Machine Learning (ICML), 2021
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
993
4,372
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20 Dec 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Neural Information Processing Systems (NeurIPS), 2021
A. Saha
Trent Kyono
J. Linmans
M. Schaar
CML
235
140
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25 Oct 2021
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
538
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05 Oct 2021
A survey on datasets for fairness-aware machine learning
Tai Le Quy
Arjun Roy
Vasileios Iosifidis
Wenbin Zhang
Eirini Ntoutsi
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414
329
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TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks
Amirarsalan Rajabi
O. Garibay
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155
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02 Sep 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
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Diffusion Models Beat GANs on Image Synthesis
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Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
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Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
646
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10 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
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Calvin Seward
Ingmar Schuster
Roland Vollgraf
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DiffWave: A Versatile Diffusion Model for Audio Synthesis
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A Reductions Approach to Fair Classification
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