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TabTreeFormer: Enhancing Synthetic Tabular Data Generation Through Tree-Based Inductive Biases and Dual-Quantization Tokenization
The generation of synthetic tabular data has become increasingly crucial in fields like healthcare and financial services, where privacy concerns