- Department of Statistics, University of Seoul
- Tabular Data Synthesis
- Variational AutoEncoder
- Synthetic Data Generation
- Distributional Learning
Official implementation of 'Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis' (MaCoDE) with pytorch (AAAI 2025 accepted paper).
Jupyter Notebook
Official implementation of 'Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation' (DistVAE) with pytorch (NeurIPS 2023 accepted paper).
Jupyter Notebook 1
A package for the comprehensive evaluation of synthetic tabular datasets.
Python 2
This repository is the official implementation of Cryptocurrency Price Forecasting using Variational AutoEncoder with Versatile Quantile Modeling (CIKM, 2024).
Python 4
Official tensorflow implementation codes for Pattern Recognition Letters accepted paper "Customization of latent space in semi-supervised variational autoencoder"
Python 5