The simplified approach makes it easier to see how neural networks ... function being learned by the entire KAN. The team, however, has only tested the interpretability of KANs on simple ...

The interplay between data symmetries and network architecture is key for efficient learning in neural networks. Convolutional neural networks perform well in image recognition by exploiting the ...

Which learning goals must individual computational elements pursue to contribute to a network-level task solution? This local understanding is missing in both biological, but also artificial neural ..