Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models

12 April 2024

Xiaoxue Yang

Akane Sano

DiffM

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Papers citing "Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models"

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Title
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 43 0 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 92 0 0 24 Feb 2025
Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation Yunbo Long Liming Xu Alexandra Brintrup 100 1 0 06 Feb 2025
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang Zhimeng Jiang Huiyuan Chen Xiao Li Jing Li 134 3 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 87 75 0 14 Oct 2024
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation Md Fahim Sikder Daniel de Leng Fredrik Heintz 66 1 0 02 Oct 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 81 1 0 03 Jul 2024
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 68 107 0 14 Oct 2023
FinDiff: Diffusion Models for Financial Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth DiffM 46 37 0 04 Sep 2023
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 69 153 0 04 Jul 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis C. Lee Jayoung Kim Noseong Park DiffM 52 61 0 25 Apr 2023
Text-to-image Diffusion Models in Generative AI: A Survey Chenshuang Zhang Chaoning Zhang Mengchun Zhang In So Kweon VLM 80 275 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 43 27 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 75 123 0 07 Feb 2023
On the Importance of Noise Scheduling for Diffusion Models Ting Chen DiffM 70 155 0 26 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Yuante Li Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 47 104 0 08 Jan 2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation Michal Stypulkowski Konstantinos Vougioukas Sen He Maciej Ziȩba Stavros Petridis Maja Pantic DiffM 38 120 0 06 Jan 2023
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 65 32 0 24 Nov 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P. Schramowski Manuel Brack Bjorn Deiseroth Kristian Kersting 123 298 0 09 Nov 2022
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 73 250 0 12 Oct 2022
STaSy: Score-based Tabular data Synthesis Jayoung Kim C. Lee Noseong Park DiffM 87 62 0 08 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko DiffM 103 259 0 30 Sep 2022
Diffusion Models Beat GANs on Topology Optimization Franccois Mazé Faez Ahmed DiffM AI4CE 63 63 0 20 Aug 2022
Bias Reducing Multitask Learning on Mental Health Prediction Khadija Zanna K. Sridhar Han Yu Akane Sano 43 20 0 07 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 188 3,885 0 26 Jul 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 404 6,012 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 377 6,859 0 13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 410 15,486 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 331 3,600 0 20 Dec 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 61 109 0 25 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 101 685 0 05 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 59 248 0 01 Oct 2021
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks Amirarsalan Rajabi O. Garibay GAN 55 58 0 02 Sep 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 154 936 0 07 Jul 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 213 7,831 0 11 May 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 291 420 0 10 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 91 317 0 28 Jan 2021
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 147 1,456 0 21 Sep 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 201 1,765 0 29 Jun 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data Chao Ma Sebastian Tschiatschek José Miguel Hernández-Lobato Richard Turner Cheng Zhang DRL VLM 37 69 0 21 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 598 18,036 0 19 Jun 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 562 4,345 0 23 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 659 5,798 0 25 Jul 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 106 1,252 0 01 Jul 2019
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 186 483 0 09 Jun 2018
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 100 314 0 28 May 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 224 1,100 0 06 Mar 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 197 1,385 0 22 Jan 2018
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 191 878 0 06 Sep 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,906 0 22 May 2017