415 citations · 1.1k across the 17 of their papers we have counts for
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hep-th2021
The edge of chaos: quantum field theory and deep neural networks
Kevin T. Grosvenor, Ro Jefferson
We explicitly construct the quantum field theory corresponding to a general class of deep neural networks encompassing both recurrent and feedforward architectures. We first consid…
hep-th2021
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
Johanna Erdmenger, Kevin T. Grosvenor, Ro Jefferson
We investigate the analogy between the renormalization group (RG) and deep neural networks, wherein subsequent layers of neurons are analogous to successive steps along the RG. In…