Kathlén Kohn

According to our database, Kathlén Kohn authored at least 26 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The Riemannian Geometry associated to Gradient Flows of Linear Convolutional Networks.

El Mehdi Achour, Kathlén Kohn, Holger Rauhut

CoRR, July, 2025

Learning on a Razor's Edge: the Singularity Bias of Polynomial Neural Networks.

Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn

CoRR, May, 2025

An Algebraic Geometry Approach to Viewing Graph Solvability.

Federica Arrigoni, Kathlén Kohn, Andrea Fusiello, Tomás Pajdla

CoRR, April, 2025

A Framework for Reducing the Complexity of Geometric Vision Problems and its Application to Two-View Triangulation with Approximation Bounds.

Felix Rydell, Georg Bökman, Fredrik Kahl, Kathlén Kohn

CoRR, March, 2025

PLMP - Point-Line Minimal Problems for Projective SfM.

Kim Kiehn, Albin Ahlbäck, Kathlén Kohn

CoRR, March, 2025

An Invitation to Neuroalgebraic Geometry.

Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta, Matthew Trager, Kathlén Kohn

CoRR, January, 2025

Geometry of Linear Neural Networks: Equivariance and Invariance Under Permutation Groups.

Kathlén Kohn, Anna-Laura Sattelberger, Vahid Shahverdi

SIAM J. Matrix Anal. Appl., 2025

Geometry of Lightning Self-Attention: Identifiability and Dimension.

Nathan W. Henry, Giovanni Luca Marchetti, Kathlén Kohn

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Order-One Rolling Shutter Cameras.

Marvin Anas Hahn, Kathlén Kohn, Orlando Marigliano, Tomás Pajdla

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

On the Geometry and Optimization of Polynomial Convolutional Networks.

Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén Kohn

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

PL₁P: Point-Line Minimal Problems under Partial Visibility in Three Views.

Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla

Int. J. Comput. Vis., August, 2024

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

Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

A Bridge between Invariant Theory and Maximum Likelihood Estimation.

Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal

SIAM Rev., 2024

Function Space and Critical Points of Linear Convolutional Networks.

Kathlén Kohn, Guido Montúfar, Vahid Shahverdi, Matthew Trager

SIAM J. Appl. Algebra Geom., 2024

Corrigendum: Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation.

Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal

SIAM J. Appl. Algebra Geom., 2024

Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator.

Carlos Améndola, Lukas Gustafsson, Kathlén Kohn, Orlando Marigliano, Anna Seigal

SIAM J. Appl. Algebra Geom., 2024

Voronoi diagrams of algebraic varieties under polyhedral norms.

Adrian Becedas, Kathlén Kohn, Lorenzo Venturello

J. Symb. Comput., 2024

2022

Geometry of Linear Convolutional Networks.

Kathlén Kohn, Thomas Merkh, Guido Montúfar, Matthew Trager

SIAM J. Appl. Algebra Geom., 2022

Snapshot of Algebraic Vision.

Joe Kileel, Kathlén Kohn

CoRR, 2022

2021

Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation.

Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal

SIAM J. Appl. Algebra Geom., 2021

Coisotropic hypersurfaces in Grassmannians.

Kathlén Kohn

J. Symb. Comput., 2021

2020

Projective Geometry of Wachspress Coordinates.

Kathlén Kohn, Kristian Ranestad

Found. Comput. Math., 2020

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

Matthew Trager, Kathlén Kohn, Joan Bruna

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Voronoi Cells of Lattices with Respect to Arbitrary Norms.

Johannes Blömer, Kathlén Kohn

SIAM J. Appl. Algebra Geom., 2018

2017

Changing Views on Curves and Surfaces.

Kathlén Kohn, Bernd Sturmfels, Matthew Trager

CoRR, 2017

2015

Computing the Chow Variety of Quadratic Space Curves.

Peter Bürgisser, Kathlén Kohn, Pierre Lairez, Bernd Sturmfels

Proceedings of the Mathematical Aspects of Computer and Information Sciences, 2015