<ul><li>TabKAN is a novel framework that advances tabular data modeling using Kolmogorov-Arnold Networks (KANs).</li><li>KANs leverage learnable activation functions on edges, enhancing interpretability and training efficiency.</li><li>TabKAN demonstrates superior performance in supervised learning and outperforms classical and Transformer-based models in transfer learning scenarios.</li><li>KAN-based architectures bridge the gap between traditional machine learning and deep learning for structured data.</li></ul>

TabKAN: Advancing Tabular Data Analysis using Kolmograv-Arnold Network

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