36 citations · 61 across the 5 of their papers we have counts for
6 papers
The critical locus of overparameterized neural networks
Y. Cooper
Many aspects of the geometry of loss functions in deep learning remain mysterious. In this paper, we work toward a better understanding of the geometry of the loss function of…
The loss landscape of overparameterized neural networks
Y Cooper
We explore some mathematical features of the loss landscape of overparameterized neural networks. A priori one might imagine that the loss function looks like a typical function fr…
A Fock Space approach to Severi Degrees of Hirzebruch Surfaces
Yaim Cooper
The classical Severi degree counts the number of algebraic curves of fixed genus and class passing through some general points in a surface. In this paper we study Severi degrees a…
A Fock space approach to Severi degrees
Yaim Cooper, Rahul Pandharipande
The classical Severi degree counts the number of algebraic curves of fixed genus and class passing through points in a surface. We express the Severi degrees of CP1 x CP1 as matrix…
Mirror Symmetry for Stable Quotients Invariants
Yaim Cooper, Aleksey Zinger
The moduli space of stable quotients introduced by Marian-Oprea-Pandharipande provides a natural compactification of the space of morphisms from nonsingular curves to a nonsingular…
The Geometry of Stable Quotients in Genus One
Yaim Cooper
Stable quotient spaces provide an alternative to stable maps for compactifying spaces of maps. When the target is projective space and the domain curve has genus 1, these are smoot…