Kathlén Kohn | DeepAI

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Joan Bruna
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Bernd Sturmfels
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Tomas Pajdla
27 publications
Joe Kileel
23 publications
Matthew Trager
17 publications
Carlos Améndola
16 publications
Anton Leykin
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Anna Seigal
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Peter Bürgisser
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Pierre Lairez
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∙ 04/24/2023

Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator

We study multivariate Gaussian statistical models whose maximum likeliho...

0 Carlos Améndola, et al. ∙

∙ 04/12/2023

Function Space and Critical Points of Linear Convolutional Networks

We study the geometry of linear networks with one-dimensional convolutio...

0 Kathlén Kohn, et al. ∙

∙ 10/20/2022

Snapshot of Algebraic Vision

In this survey article, we present interactions between algebraic geomet...

0 Joe Kileel, et al. ∙

∙ 08/03/2021

Geometry of Linear Convolutional Networks

We study the family of functions that are represented by a linear convol...

0 Kathlén Kohn, et al. ∙

∙ 12/14/2020

Toric invariant theory for maximum likelihood estimation in log-linear models

We establish connections between invariant theory and maximum likelihood...

0 Carlos Améndola, et al. ∙

∙ 12/01/2020

The Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices

We study multivariate Gaussian models that are described by linear condi...

0 Carlos Améndola, et al. ∙

∙ 11/30/2020

Linear Spaces of Symmetric Matrices with Non-Maximal Maximum Likelihood Degree

We study the maximum likelihood degree of linear concentration models in...

0 Kathlén Kohn, et al. ∙

∙ 11/17/2020

Maximum Likelihood Estimation for Nets of Conics

We study the problem of maximum likelihood estimation for 3-dimensional ...

0 Stefan Dye, et al. ∙

∙ 03/30/2020

Invariant theory and scaling algorithms for maximum likelihood estimation

We show that maximum likelihood estimation in statistics is equivalent t...

0 Carlos Améndola, et al. ∙

∙ 03/10/2020

PL_1P – Point-line Minimal Problems under Partial Visibility in Three Views

We present a complete classification of minimal problems for generic arr...

0 Timothy Duff, et al. ∙

∙ 10/03/2019

Pure and Spurious Critical Points: a Geometric Study of Linear Networks

The critical locus of the loss function of a neural network is determine...

7 Matthew Trager, et al. ∙

∙ 03/24/2019

PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility

We present a complete classification of all minimal problems for generic...

0 Timothy Duff, et al. ∙

∙ 07/06/2017

Changing Views on Curves and Surfaces

Visual events in computer vision are studied from the perspective of alg...

0 Kathlén Kohn, et al. ∙

∙ 08/28/2015

Computing the Chow variety of quadratic space curves

Quadrics in the Grassmannian of lines in 3-space form a 19-dimensional p...

0 Peter Bürgisser, et al. ∙

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