Publications by Kathlén Kohn

Peer reviewed

Articles

[1]

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

[2]

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, pp. 465-492, 2024.

[3]

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

[4]

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, pp. 421-435, 2024.

[5]

A. Becedas, K. Kohn and L. Venturello, "Voronoi diagrams of algebraic varieties under polyhedral norms," Journal of symbolic computation, vol. 120, pp. 102229, 2024.

[6]

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

[7]

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

[8]

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

[9]

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

[10]

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

[11]

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

[12]

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

[13]

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

[14]

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

[15]

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

[16]

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

[17]

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

[18]

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

Conference papers

[19]

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

[20]

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

[21]

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

[22]

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

Chapters in books

[23]

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