Real Rank Two Geometry. - Anna Seigal; Bernd Sturmfels (CoRR, 2016)

Duality of Graphical Models and Tensor Networks. - Elina Robeva; Anna Seigal (CoRR, 2017)

Learning Paths from Signature Tensors. - Max Pfeffer; Anna Seigal; Bernd Sturmfels (SIAM J. Matrix Anal. Appl., 2019)

Ranks and symmetric ranks of cubic surfaces. - Anna Seigal (J. Symb. Comput., 2020)

Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation. - Carlos Améndola; Kathlén Kohn; Philipp Reichenbach; Anna Seigal (SIAM J. Appl. Algebra Geom., 2021)

Linear Causal Disentanglement via Interventions. - Anna Seigal; Chandler Squires; Caroline Uhler (CoRR, 2022)

Linear Causal Disentanglement via Interventions. - Chandler Squires; Anna Seigal; Salil S. Bhate; Caroline Uhler (ICML, 2023)

Supermodular Rank: Set Function Decomposition and Optimization. - Rishi Sonthalia; Anna Seigal; Guido Montúfar (CoRR, 2023)

Principal Components Along Quiver Representations. - Anna Seigal; Heather A. Harrington; Vidit Nanda (Found. Comput. Math., 2023)

Lower bounds on the rank and symmetric rank of real tensors. - Kexin Wang; Anna Seigal (J. Symb. Comput., 2023)

Linear causal disentanglement via higher-order cumulants. - Paula Leyes Carreno; Chiara Meroni; Anna Seigal (CoRR, 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)

Corrigendum: Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation. - Carlos Améndola; Kathlén Kohn; Philipp Reichenbach; Anna Seigal (SIAM J. Appl. Algebra Geom., 2024)

A Bridge between Invariant Theory and Maximum Likelihood Estimation. - Carlos Améndola; Kathlén Kohn; Philipp Reichenbach; Anna Seigal (SIAM Rev., 2024)