12 citations · 30 across the 5 of their papers we have counts for
10 papers
Cone Vertex Algebras, Mock Theta Functions, and Umbral Moonshine Modules
Miranda C. N. Cheng, Gabriele Sgroi
We describe a family of indefinite theta functions of signature that can be expressed in terms of trace functions of vertex algebras built from cones in lattices. The famil…
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-…
Three-Manifold Quantum Invariants and Mock Theta Functions
Miranda C. N. Cheng, Francesca Ferrari, Gabriele Sgroi
Mock modular forms have found applications in numerous branches of mathematical sciences since they were first introduced by Ramanujan nearly a century ago. In this proceeding we h…
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…
3d Modularity
Miranda C. N. Cheng, Sungbong Chun, Francesca Ferrari +2
We find and propose an explanation for a large variety of modularity-related symmetries in problems of 3-manifold topology and physics of 3d theories where such str…
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…