Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation

This is a corrigendum for the article “Diffusion Models for Tabular Data Imputation and Synthetic Data Generation” published in ACM Trans. Knowl. Discov. Data 19(6): 125:1-125:32 (2025).

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Publication Details

Journal
ACM Transactions on Knowledge Discovery from Data
Published
2025-09-25
DOI
https://doi.org/10.1145/3761939
Citations
3
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
7.44
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article

Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation

Ioannis Arapakis, Mario Villaizán-Vallelado, Matteo Salvatori, Carlos Segura
3 citations
ACM Transactions on Knowledge Discovery from Data
Bayesian Methods and Mixture Models
7.44
article

Corrigendum: Diffusion Models for Tabular Data Imputation and Synthetic Data Generation

Ioannis Arapakis, Mario Villaizán-Vallelado, Matteo Salvatori, Carlos Segura
article en
3 citations

Abstract

This is a corrigendum for the article “Diffusion Models for Tabular Data Imputation and Synthetic Data Generation” published in ACM Trans. Knowl. Discov. Data 19(6): 125:1-125:32 (2025).

ACM Transactions on Knowledge Discovery from DataVol. 19(8)
Universidad de Valladolid (ES), Telefónica (Spain) (ES), Telefonica Research and Development (ES)
Openalex Percentile: Top 3%
Bayesian Methods and Mixture Models
7.44
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