interpretable-neural-networks

This paper introduces Macchiato, a specialized training algorithm that constructs certifiably interpretable ReLU-MLPs for Boolean tasks from partial truth-table observations, with statistical guarantees and Boolean circuit certification.

This paper introduces NanoEQL, a fully white-box neural network that deciphers size determination mechanisms in nanocrystal synthesis through interpretable equations and scalars, advancing rational design and chemical reaction analysis.