556 citations · 3.3k across the 66 of their papers we have counts for
5 papers · 1 filter
Renormalizing Diffusion Models
Jordan Cotler, Semon Rezchikov
We explain how to use diffusion models to learn inverse renormalization group flows of statistical and quantum field theories. Diffusion models are a class of machine learning mode…
Analyzing Populations of Neural Networks via Dynamical Model Embedding
Jordan Cotler, Kai Sheng Tai, Felipe Hernández +2
A core challenge in the interpretation of deep neural networks is identifying commonalities between the underlying algorithms implemented by distinct networks trained for the same…
Isometric evolution in de Sitter quantum gravity
Jordan Cotler, Kristan Jensen
We study time evolution in two simple models of de Sitter quantum gravity, Jackiw-Teitelboim gravity and a minisuperspace approximation to Einstein gravity with a positive cosmolog…
An Integer Basis for Celestial Amplitudes
Jordan Cotler, Noah Miller, Andrew Strominger
We present a discrete basis of solutions of the massless Klein-Gordon equation in 3+1 Minkowski space which transform as sl(2,C) Lorentz/conformal primaries and descendants, and wh…
Cosmic ER=EPR in dS/CFT
Jordan Cotler, Andrew Strominger
In the dS/CFT correspondence, bulk states on global spacelike slices of de Sitter space are dual to (in general) entangled states in the tensor product of the dual CFT Hilbert spac…