Li, F. (2026). Compositional Function Networks: A High-Performance Alternative to Deep Neural Networks with Built-in Interpretability. Proceedings of the AAAI Symposium Series, 8(1), 447–454. https://doi.org/10.1609/aaaiss.v8i1.42576