TabDDPM: Modelling Tabular Data with Diffusion Models

30 September 2022

Papers citing "TabDDPM: Modelling Tabular Data with Diffusion Models"

50 / 151 papers shown

Title
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 42 5 0 19 Jan 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth FedML DiffM MedIm 22 7 0 11 Jan 2024
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
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective Din-Yin Hsieh ChiHua Wang Guang Cheng AI4TS 26 5 0 01 Jan 2024
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes Nabeel Seedat Nicolas Huynh B. V. Breugel M. Schaar 26 25 0 19 Dec 2023
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 Manbir Gulati Paul F. Roysdon LMTD 50 33 0 11 Dec 2023
DiSK: A Diffusion Model for Structured Knowledge O. Kitouni Niklas Nolte James Hensman Bhaskar Mitra DiffM 25 3 0 08 Dec 2023
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 39 2 0 29 Nov 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning Valeriia Cherepanova Roman Levin Gowthami Somepalli Jonas Geiping C. Bayan Bruss Andrew Gordon Wilson Tom Goldstein Micah Goldblum 31 18 0 10 Nov 2023
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 Noah J. Bagazinski Faez Ahmed 37 8 0 09 Nov 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems Derek Lilienthal Paul Mello Magdalini Eirinaki Stas Tiomkin SyDa DiffM 26 3 0 06 Nov 2023
TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models Yangming Li DiffM AI4TS 39 5 0 06 Nov 2023
Boosting Data Analytics With Synthetic Volume Expansion Xiaotong Shen Yifei Liu Rex Shen 19 3 0 27 Oct 2023
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
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
TabuLa: Harnessing Language Models for Tabular Data Synthesis Zilong Zhao Robert Birke Lydia Y. Chen LMTD 43 29 0 19 Oct 2023
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 34 83 0 14 Oct 2023
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation Yuan Zhong Suhan Cui Jiaqi Wang Xiaochen Wang Ziyi Yin Yaqing Wang Houping Xiao Mengdi Huai Ting Wang Fenglong Ma MedIm 30 3 0 04 Oct 2023
ResBit: Residual Bit Vector for Categorical Values Masane Fuchi Amar Zanashir Si-Qing Chen Tomohiro Takagi 21 1 0 29 Sep 2023
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees Alexia Jolicoeur-Martineau Kilian Fatras Tal Kachman 33 30 0 18 Sep 2023
FinDiff: Diffusion Models for Financial Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth DiffM 16 35 0 04 Sep 2023
Generating tabular datasets under differential privacy G. Truda DiffM 27 5 0 28 Aug 2023
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance Saeid Naderiparizi Xiaoxuan Liang Berend Zwartsenberg Frank Wood DiffM 34 4 0 31 Jul 2023
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation Rodrigo Castellon Achintya Gopal Brian Bloniarz David S. Rosenberg 26 7 0 19 Jul 2023
CuTS: Customizable Tabular Synthetic Data Generation Mark Vero Mislav Balunović Martin Vechev 26 3 0 07 Jul 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 21 141 0 04 Jul 2023
MissDiff: Training Diffusion Models on Tabular Data with Missing Values Yidong Ouyang Liyan Xie Chongxuan Li Guang Cheng DiffM 29 23 0 02 Jul 2023
When Synthetic Data Met Regulation Georgi Ganev 29 2 0 01 Jul 2023
On the Usefulness of Synthetic Tabular Data Generation Dionysis Manousakas Sergul Aydore 26 8 0 27 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models Hailong Hu Jun Pang DiffM 20 3 0 08 Jun 2023
A Comprehensive Survey on Generative Diffusion Models for Structured Data Heejoon Koo To Eun Kim DiffM MedIm 33 7 0 07 Jun 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 38 4 0 02 Jun 2023
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification Yifei Liu Rex Shen Xiaotong Shen DiffM 32 1 0 30 May 2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation Takayuki Miura Toshiki Shibahara M. Kii Atsunori Ichikawa Juko Yamamoto Koji Chida SyDa 30 0 0 31 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models L. Zbinden Lars Doorenbos Theodoros Pissas Adrian Thomas Huber Raphael Sznitman Pablo Márquez-Neila DiffM 34 30 0 15 Mar 2023
Synthetic Experience Replay Cong Lu Philip J. Ball Yee Whye Teh Jack Parker-Holder OffRL 94 67 0 12 Mar 2023
Graph Neural Network contextual embedding for Deep Learning on Tabular Data Mario Villaizán-Vallelado Matteo Salvatori B. Carro Antonio J. Sánchez-Esguevillas AI4CE LMTD 30 14 0 11 Mar 2023
Synthesizing Mixed-type Electronic Health Records using Diffusion Models T. Ceritli Ghadeer O. Ghosheh V. Chauhan T. Zhu Andrew P. Creagh David A. Clifton MedIm DiffM 46 19 0 28 Feb 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 55 31 0 26 Feb 2023
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 27 5 0 07 Feb 2023
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers Aivin V. Solatorio Olivier Dupriez LMTD 26 61 0 04 Feb 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
Hierarchically branched diffusion models leverage dataset structure for class-conditional generation Alex Tseng Max W. Shen Tommaso Biancalani Gabriele Scalia DiffM 26 0 0 21 Dec 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 194 134 0 30 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 779 0 27 May 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 517 0 06 Dec 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 132 198 0 16 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 207 395 0 10 Feb 2021