Publikationer av Kathlén Kohn

Refereegranskade

Artiklar

[1]

K. Kohn et al., "Adjoints and canonical forms of polypols," Documenta Mathematica, vol. 30, no. 2, s. 275-346, 2025.

[2]

K. Kohn, A.-L. Sattelberger och V. Shahverdi, "Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups," SIAM Journal on Matrix Analysis and Applications, s. 1378-1415, 2025.

[3]

C. Améndola et al., "A Bridge between Invariant Theory and Maximum Likelihood Estimation," SIAM Review, vol. 66, no. 4, s. 721-747, 2024.

[4]

C. Amendola et al., "Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator," SIAM JOURNAL ON APPLIED ALGEBRA AND GEOMETRY, vol. 8, no. 3, s. 465-492, 2024.

[5]

K. Kohn et al., "Function Space and Critical Points of Linear Convolutional Networks," SIAM Journal on Applied Algebra and Geometry, vol. 8, no. 2, s. 333-362, 2024.

[6]

T. Duff et al., "PL1P: Point-Line Minimal Problems under Partial Visibility in Three Views," International Journal of Computer Vision, vol. 132, no. 8, s. 3302-3323, 2024.

[7]

T. Duff et al., "PLMP : Point-Line Minimal Problems in Complete Multi-View Visibility," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 1, s. 421-435, 2024.

[8]

A. Becedas, K. Kohn och L. Venturello, "Voronoi diagrams of algebraic varieties under polyhedral norms," Journal of symbolic computation, vol. 120, 2024.

[9]

K. Kohn et al., "Geometry of Linear Convolutional Networks," SIAM JOURNAL ON APPLIED ALGEBRA AND GEOMETRY, vol. 6, no. 3, s. 368-406, 2022.

[10]

K. Kohn, "Coisotropic hypersurfaces in Grassmannians," Journal of symbolic computation, vol. 103, s. 157-177, 2021.

[11]

C. Améndola et al., "Invariant theory and scaling algorithms for maximum likelihood estimation," SIAM Journal on Applied Algebra and Geometry, vol. 5, no. 2, s. 304-337, 2021.

[12]

K. Kohn och J. Mathews, "Isotropic and Coisotropic Subvarieties of Grassmannians," Advances in Mathematics, vol. 377, s. 107492, 2021.

[13]

Y. Jiang, K. Kohn och R. Winter, "Linear Spaces Of Symmetric Matrices With Non-Maximal Maximum Likelihood Degree," Le Matematiche, vol. 76, no. 2, s. 461-481, 2021.

[14]

S. Dye et al., "Maximum Likelihood Estimation For Nets Of Conics," Le Matematiche, vol. 76, no. 2, s. 399-414, 2021.

[15]

C. Amendola et al., "The Maximum Likelihood Degree Of Linear Spaces Of Symmetric Matrices," Le Matematiche, vol. 76, no. 2, s. 535-557, 2021.

[16]

C. Améndola et al., "Toric invariant theory for maximum likelihood estimation in log-linear models," Algebraic Statistics, vol. 12, s. 187-211, 2021.

[17]

K. Kohn, B. Shapiro och B. Sturmfels, "Moment varieties of measures on polytopes," Annali della Scuola Normale Superiore di Pisa (Classe Scienze), Serie V, vol. 21, s. 739-770, 2020.

[18]

K. Kohn och K. Ranestad, "Projective Geometry of Wachspress Coordinates," Foundations of Computational Mathematics, vol. 20, s. 1135-1173, 2020.

[19]

K. Kohn, B. Sturmfels och M. Trager, "Changing Views on Curves and Surfaces," Acta Mathematica Vietnamica, vol. 43, s. 1-29, 2018.

[20]

J. Blömer och K. Kohn, "Voronoi Cells of Lattices with Respect to Arbitrary Norms," SIAM Journal on Applied Algebra and Geometry, vol. 2, s. 314-338, 2018.

[21]

K. Kohn och E. U. Deuker, "Der Komplex der nicht-chromatischen Skalen," Mitteilungen der DMV, vol. 25, s. 17-25, 2017.

Konferensbidrag

[22]

G. L. Marchetti et al., "Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry," i International Conference on Machine Learning (ICML), 2025.

[23]

N. W. Henry, G. L. Marchetti och K. Kohn, "Geometry of Lightning Self-Attention: Identifiability and Dimension," i International Conference on Learning Representations (ICLR), 2025.

[24]

V. Shahverdi, G. L. Marchetti och K. Kohn, "On the Geometry and Optimization of Polynomial Convolutional Networks," i The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), Thailand, May 3rd - May 5th, 2025, 2025.

[25]

M. Hahn et al., "Order-One Rolling Shutter Cameras," i Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[26]

K. L. Kiehn, A. Ahlbäck och K. Kohn, "PLMP – Point-Line Minimal Problems for Projective SfM," i IEEE International Conference on Computer Vision, 2025.

[27]

T. Duff et al., "PL1 P - Point-Line Minimal Problems Under Partial Visibility in Three Views," i Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVI, 2020, s. 175-192.

[28]

M. Trager, K. Kohn och J. Bruna, "Pure and Spurious Critical Points : a Geometric Study of Linear Networks," i 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, 30 April 2020, 2020.

[29]

T. Duff et al., "PLMP - Point-line minimal problems in complete multi-view visibility," i Proceedings of the IEEE International Conference on Computer Vision, 2019, s. 1675-1684.

[30]

P. Bürgisser et al., "Computing the Chow variety of quadratic space curves," i Mathematical Aspects of Computer and Information Sciences : 6th International Conference, MACIS 2015, Berlin, Germany, November 11-13, 2015, Revised Selected Papers, 2015.

Kapitel i böcker

[31]

K. Kohn, B. I. Utstøl Nødland och P. Tripoli, "Secants, Bitangents, and Their Congruences," i Combinatorial Algebraic Geometry : Selected Papers From the 2016 Apprenticeship Program, Gregory G. Smith and Bernd Sturmfels red., : Springer, 2017, s. 87-112.