4 citations · 4 across the 1 of their papers we have counts for
4 papers
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge, Tegan H. Emerson, Grayson Jorgenson +3
It is often said that a deep learning model is "invariant" to some specific type of transformation. However, what is meant by this statement strongly depends on the context in whic…
Secant indices of projective varieties
Grayson Jorgenson
To each subvariety in projective -space of codimension we associate an integer sequence of length from to the degree of recording the maximal cardinaliti…
A relative Segre zeta function
Grayson Jorgenson
The choice of a homogeneous ideal in a polynomial ring defines a closed subscheme in a projective space as well as an infinite sequence of cones over in progressively highe…
Linear recurrence sequences and the duality defect conjecture
Grayson Jorgenson
It is conjectured that the dual variety of every smooth nonlinear subvariety of dimension in projective -space is a hypersurface, an expectation known as the du…