In order to better understand feature learning in neural networks, we pr...
Recurrent Neural Networks (RNNs) are important tools for processing
sequ...
The first step towards investigating the effectiveness of a treatment is...
Deep neural networks have become essential for numerous applications due...
Kernels derived from deep neural networks (DNNs) in the infinite-width
p...
High dimensionality poses many challenges to the use of data, from
visua...
The study of deep networks (DNs) in the infinite-width limit, via the
so...