VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data

21 June 2020

Chao Ma

Sebastian Tschiatschek

José Miguel Hernández-Lobato

Papers citing "VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data"

21 / 21 papers shown

Title
A Tutorial on Discriminative Clustering and Mutual Information Louis Ohl Pierre-Alexandre Mattei F. Precioso 32 0 0 07 May 2025
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking Dayananda Herurkar Ahmad Ali Andreas Dengel 43 0 0 29 Apr 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 49 2 0 23 Apr 2025
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models Shuo Yang Chenchen Yuan Yao Rong Felix Steinbauer Gjergji Kasneci 38 1 0 17 Jun 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang Peikun Guo Khadija Zanna Akane Sano Xiaoxue Yang Akane Sano DiffM 34 8 0 12 Apr 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey Xi Fang Weijie Xu Fiona Anting Tan Jiani Zhang Ziqing Hu Yanjun Qi Scott Nickleach Diego Socolinsky Srinivasan H. Sengamedu Christos Faloutsos LMTD ALM 50 66 0 27 Feb 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 37 24 0 15 Feb 2024
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 61 5 0 16 Dec 2023
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning Wei Chen Rachel Sun Doksoo Lee Carlos M. Portela Wei Chen AI4CE 31 3 0 08 Dec 2023
Estimating Conditional Mutual Information for Dynamic Feature Selection S. Gadgil Ian Covert Su-In Lee 34 3 0 05 Jun 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 30 15 0 04 Apr 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 25 5 0 13 Feb 2023
Predictive World Models from Real-World Partial Observations Robin Karlsson Alexander Carballo Keisuke Fujii Kento Ohtani K. Takeda 44 5 0 12 Jan 2023
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 27 223 0 12 Oct 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 32 27 0 09 Jun 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo I. Peis Chao Ma José Miguel Hernández-Lobato BDL DRL 16 14 0 09 Feb 2022
Generative Modeling of Complex Data Luca Canale Nicolas Grislain Grégoire Lothe Johanne Leduc SyDa 30 4 0 04 Feb 2022
Bi-Discriminator Class-Conditional Tabular GAN Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal 18 12 0 12 Nov 2021
Identifiable Generative Models for Missing Not at Random Data Imputation Chao Ma Cheng Zhang 36 34 0 27 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 47 648 0 05 Oct 2021
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo Martínez Olmos Antonio Artés-Rodríguez BDL DRL 34 8 0 15 Dec 2020