79 citations · 181 across the 16 of their papers we have counts for
5 papers · 1 filter
Space-dependent symmetries and fractons
Kevin T. Grosvenor, Carlos Hoyos, Francisco Peña-Benitez +1
There has been a surge of interest in effective non-Lorentzian theories of excitations with restricted mobility, known as fractons. Examples include defects in elastic materials, v…
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…
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…
Hydrodynamics of ideal fracton fluids
Kevin T. Grosvenor, Carlos Hoyos, Francisco Peña-Benítez +1
Low-energy dynamics of many-body fracton excitations necessary to describe topological defects should be governed by a novel type of hydrodynamic theory. We use a Poisson bracket a…
New Heat Kernel Method in Lifshitz Theories
Kevin T. Grosvenor, Charles Melby-Thompson, Ziqi Yan
We develop a new heat kernel method that is suited for a systematic study of the renormalization group flow in Horava gravity (and in Lifshitz field theories in general). This meth…