Carlos Améndola

According to our database, Carlos Améndola authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

2023

Identifiability in Continuous Lyapunov Models.

Philipp Dettling, Roser Homs, Carlos Améndola, Mathias Drton, Niels Richard Hansen

SIAM J. Matrix Anal. Appl., December, 2023

Convex Hulls of Curves: Volumes and Signatures.

Carlos Améndola, Darrick Lee, Chiara Meroni

Proceedings of the Geometric Science of Information - 6th International Conference, 2023

2022

Autocovariance varieties of moving average random fields.

Carlos Améndola, Viet Son Pham

J. Symb. Comput., 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

Moment Identifiability of Homoscedastic Gaussian Mixtures.

Daniele Agostini, Carlos Améndola, Kristian Ranestad

Found. Comput. Math., 2021

Markov equivalence of max-linear Bayesian networks.

Carlos Améndola, Benjamin Hollering, Seth Sullivant, Ngoc Tran

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Structure Learning for Cyclic Linear Causal Models.

Carlos Améndola, Philipp Dettling, Mathias Drton, Federica Onori, Jun Wu

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Discrete Gaussian Distributions via Theta Functions.

Daniele Agostini, Carlos Améndola

SIAM J. Appl. Algebra Geom., 2019

The maximum likelihood degree of toric varieties.

Carlos Améndola, Nathan Bliss, Isaac Burke, Courtney R. Gibbons, Martin Helmer, Serkan Hosten, Evan D. Nash, Jose Israel Rodriguez, Daniel Smolkin

J. Symb. Comput., 2019

2015

Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental.

Carlos Améndola, Mathias Drton, Bernd Sturmfels

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