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20182021
most citedUniform matrix product states from an algebraic geometer's point of view

1 citations · 1 across the 2 of their papers we have counts for

collaborators

8 papers

math.AG2021

Applications of intersection theory: from maximum likelihood to chromatic polynomials

Rodica Andreea Dinu, Mateusz Michałek, Tim Seynnaeve

Recently, we have witnessed tremendous applications of algebraic intersection theory to branches of mathematics, that previously seemed very distant. In this article we review some…

math.AG2020

Complete quadrics: Schubert calculus for Gaussian models and semidefinite programming

Laurent Manivel, Mateusz Michałek, Leonid Monin +2

We establish connections between: the maximum likelihood degree (ML-degree) for linear concentration models, the algebraic degree of semidefinite programming (SDP), and Schubert ca…

math.ST2020

Reciprocal maximum likelihood degrees of diagonal linear concentration models

Christopher Eur, Tara Fife, José Alejandro Samper +1

We show that the reciprocal maximal likelihood degree (rmld) of a diagonal linear concentration model of dimension is equal to $(-2)^rχ_M( \…

math.CO2020

K-theoretic Tutte polynomials of morphisms of matroids

Rodica Dinu, Christopher Eur, Tim Seynnaeve

We generalize the Tutte polynomial of a matroid to a morphism of matroids via the K-theory of flag varieties. We introduce two different generalizations, and demonstrate that each…

math.AG2019

The Hessian Discriminant

Rodica Dinu, Tim Seynnaeve

We express the Hessian discriminant of a cubic surface in terms of fundamental invariants. This answers Question 15 from the \emph{27 questions on the cubic surface}. We also expla…

math-ph20191 cited

Uniform matrix product states from an algebraic geometer's point of view

Adam Czapliński, Mateusz Michałek, Tim Seynnaeve

We apply methods from algebraic geometry to study uniform matrix product states. Our main results concern the topology of the locus of tensors expressed as uMPS, their defining equ…