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TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data

21 January 2025

P. Tiwald

Ivona Krchova

Andrey Sidorenko

Mariana Vargas-Vieyra

Mario Scriminaci

Michael Platzer

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Papers citing "TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data"

37 / 37 papers shown

Title
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models Valter Hudovernik Minkai Xu Juntong Shi Lovro Šubelj Stefano Ermon Erik Štrumbelj J. Leskovec DiffM 55 0 0 31 May 2025
A Note on Statistically Accurate Tabular Data Generation Using Large Language Models Andrey Sidorenko 117 0 0 05 May 2025
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang Zhimeng Jiang Huiyuan Chen Xiao Li Jing Li 181 3 0 15 Dec 2024
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Hojjat Karami David Atienza Anisoara Ionescu 140 1 0 20 Nov 2024
Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data Hengrui Zhang Liancheng Fang Qitian Wu Philip S. Yu DiffM LMTD 80 3 0 28 Oct 2024
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing Namjoon Suh Yuning Yang Din-Yin Hsieh Qitong Luan Shirong Xu Shixiang Zhu Guang Cheng 135 7 0 23 Jun 2024
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Peize Sun Yi Jiang Shoufa Chen Shilong Zhang Bingyue Peng Ping Luo Zehuan Yuan VLM 155 301 0 10 Jun 2024
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction Keyu Tian Yi Jiang Zehuan Yuan Bingyue Peng Liwei Wang VGen 145 349 0 03 Apr 2024
TabMT: Generating tabular data with masked transformers Manbir Gulati Paul F. Roysdon LMTD 99 38 0 11 Dec 2023
Strong statistical parity through fair synthetic data Ivona Krchova Michael Platzer P. Tiwald 70 2 0 06 Nov 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 111 111 0 14 Oct 2023
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees Alexia Jolicoeur-Martineau Kilian Fatras Tal Kachman 115 41 0 18 Sep 2023
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation Rodrigo Castellon Achintya Gopal Brian Bloniarz David S. Rosenberg 85 9 0 19 Jul 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis C. Lee Jayoung Kim Noseong Park DiffM 97 64 0 25 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 83 31 0 07 Apr 2023
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers Aivin V. Solatorio Olivier Dupriez LMTD 81 70 0 04 Feb 2023
Synthcity: facilitating innovative use cases of synthetic data in different data modalities Zhaozhi Qian B. Cebere M. Schaar SyDa 112 63 0 18 Jan 2023
Row Conditional-TGAN for generating synthetic relational databases Mohamed Gueye Yazid Attabi Maxime Dumas GAN 37 9 0 14 Nov 2022
TabLLM: Few-shot Classification of Tabular Data with Large Language Models S. Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag LMTD 141 236 0 19 Oct 2022
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 130 256 0 12 Oct 2022
STaSy: Score-based Tabular data Synthesis Jayoung Kim C. Lee Noseong Park DiffM 171 66 0 08 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko DiffM 131 269 0 30 Sep 2022
Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih Dorsa Sadigh Stefano Ermon BDL TPM OOD CML 98 28 0 26 May 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis Zilong Zhao A. Kunar Robert Birke L. Chen 107 86 0 01 Apr 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications Jin Li B. Cairns Jingsong Li T. Zhu SyDa 91 77 0 22 Dec 2021
TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation Abhyuday Desai Cynthia Freeman Zuhui Wang Ian Beaver SyDa AI4TS 91 119 0 15 Nov 2021
Retiring Adult: New Datasets for Fair Machine Learning Frances Ding Moritz Hardt John Miller Ludwig Schmidt 248 463 0 10 Aug 2021
Composable Generative Models Johan Leduc Nicolas Grislain SyDa 92 4 0 18 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 115 199 0 17 Feb 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 220 205 0 16 Feb 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 1.3K 42,754 0 28 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 891 10,591 0 17 Feb 2020
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 171 1,278 0 01 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 557 8,473 0 19 Jun 2019
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 245 490 0 09 Jun 2018
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 283 6,199 0 01 Jul 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 107 314 0 07 May 2016