Middleton, S.E. GloSAT Historical Measurement Table Dataset: Enhanced Table Structure Recognition Annotation for Downstream Historical Data Rescue, 6th International Workshop on Historical Document ...

TLDR: We study the architecture of neural networks through the lens of network science, and discover that good neural networks are alike in terms of their underlying graph structure.. We define a ...

Exploiting invariances in data is crucial for neural networks to learn efficient representations and to make accurate predictions. Translation invariance is a key symmetry in image processing and lies ...

The shaking table has been used extensively in the structure test field to verify the structure’s performance against various vibrations, e.g., earthquakes. In order to replicate the vibrations, which ...

However, precisely how neural systems learn to modify these representations remains far from understood. Here, we demonstrate that a recurrent neural network (RNN) can learn to modify its ...