Based on the benchmark results presented in the paper [LaTable: Towards Large Tabular Models](https://arxiv.org/abs/2406.17673), LaTable demonstrates superior overall performance compared to CTGAN. Implementing LaTable in practical engineering settings could enable the processing of larger-scale tabular data and the generation of higher-quality tabular data.
This approach leverages deep learning techniques to improve both the efficiency and effectiveness of tabular data handling, potentially addressing the limitations seen with existing models like CTGAN.
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Based on the benchmark results presented in the paper [LaTable: Towards Large Tabular Models](https://arxiv.org/abs/2406.17673), LaTable demonstrates superior overall performance compared to CTGAN. Implementing LaTable in practical engineering settings could enable the processing of larger-scale tabular data and the generation of higher-quality tabular data.
This approach leverages deep learning techniques to improve both the efficiency and effectiveness of tabular data handling, potentially addressing the limitations seen with existing models like CTGAN.