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