The differentiable implementation of logic yields a seamless combination of symbolic
reasoning and deep neural networks. Recent research, which has developed a …

Large-scale, pre-trained neural networks have demonstrated strong capabilities in various
tasks, including zero-shot image segmentation. To identify concrete objects in complex …

Humans can leverage both symbolic reasoning and intuitive reactions. In contrast,
reinforcement learning policies are typically encoded in either opaque systems like neural …

We leverage the explainability feature of KAN network and build an explainable language
model where certain neurons encode individual words and neuron activation is fully …