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cs.LG2025
Learning Interpretable Differentiable Logic Networks for Time-Series Classification
Chang Yue, Niraj K. Jha
Differentiable logic networks (DLNs) have shown promising results in tabular domains by combining accuracy, interpretability, and computational efficiency. In this work, we apply D…
cs.LG2025
Learning Interpretable Differentiable Logic Networks for Tabular Regression
Chang Yue, Niraj K. Jha
Neural networks (NNs) achieve outstanding performance in many domains; however, their decision processes are often opaque and their inference can be computationally expensive in re…