12 citations · 15 across the 3 of their papers we have counts for
5 papers
Entangled q-Convolutional Neural Nets
Vassilis Anagiannis, Miranda C. N. Cheng
We introduce a machine learning model, the q-CNN model, sharing key features with convolutional neural networks and admitting a tensor network description. As examples, we apply q-…
Vertex operator superalgebra/sigma model correspondences: The four-torus case
Vassilis Anagiannis, Miranda C. N. Cheng, John Duncan +1
We propose a correspondence between vertex operator superalgebras and families of sigma models in which the two structures are related by symmetry properties and a certain reflecti…
Covariance in Physics and Convolutional Neural Networks
Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler +3
In this proceeding we give an overview of the idea of covariance (or equivariance) featured in the recent development of convolutional neural networks (CNNs). We study the similari…
TASI Lectures on Moonshine
Vassilis Anagiannis, Miranda C. N. Cheng
The word moonshine refers to unexpected relations between the two distinct mathematical structures: finite group representations and modular objects. It is believed that the key to…
K3 Elliptic Genus and an Umbral Moonshine Module
Vassilis Anagiannis, Miranda C. N. Cheng, Sarah M. Harrison
Umbral moonshine connects the symmetry groups of the 23 Niemeier lattices with 23 sets of distinguished mock modular forms. The 23 cases of umbral moonshine have a uniform relation…