233 citations · 531 across the 32 of their papers we have counts for
4 papers · 1 filter
Implicit Bias of Linear Equivariant Networks
Hannah Lawrence, Kristian Georgiev, Andrew Dienes +1
Group equivariant convolutional neural networks (G-CNNs) are generalizations of convolutional neural networks (CNNs) which excel in a wide range of technical applications by explic…
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
Grecia Castelazo, Quynh T. Nguyen, Giacomo De Palma +3
Group convolutions and cross-correlations, which are equivariant to the actions of group elements, are commonly used in mathematics to analyze or take advantage of symmetries inher…
Hamiltonian singular value transformation and inverse block encoding
Seth Lloyd, Bobak T. Kiani, David R. M. Arvidsson-Shukur +5
The quantum singular value transformation is a powerful quantum algorithm that allows one to apply a polynomial transformation to the singular values of a matrix that is embedded a…
Learning quantum data with the quantum Earth Mover's distance
Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian +2
Quantifying how far the output of a learning algorithm is from its target is an essential task in machine learning. However, in quantum settings, the loss landscapes of commonly us…