14 citations · 30 across the 5 of their papers we have counts for
5 papers
Categorical Representation Learning and RG flow operators for algorithmic classifiers
Artan Sheshmani, Yizhuang You, Wenbo Fu +1
Following the earlier formalism of the categorical representation learning (arXiv:2103.14770) by the first two authors, we discuss the construction of the "RG-flow based categorifi…
Categorical Representation Learning: Morphism is All You Need
Artan Sheshmani, Yizhuang You
We provide a construction for categorical representation learning and introduce the foundations of "". The central theme in representation learning is the id…
Critical phenomena in presence of symmetric absorbing states: a microscopic spin model with tunable parameters
Ahmadreza Azizi, Michel Pleimling
The Langevin description of systems with two symmetric absorbing states yields a phase diagram with three different phases (disordered and active, ordered and active, absorbing) se…
Machine learning generated configurations in presence of a conserved quantity: a cautionary tale
Ahmadreza Azizi, Michel Pleimling
We investigate the performance of machine learning algorithms trained exclusively with configurations obtained from importance sampling Monte Carlo simulations of the two-dimension…
Dynamic critical properties of non-equilibrium Potts models with absorbing states
Ahmadreza Azizi, James Stidham, Michel Pleimling
We present extensive numerical simulations of a family of non-equilibrium Potts models with absorbing states that allows for a variety of scenarios, depending on the number of spin…