Anna Seigal

According to our database, Anna Seigal authored at least 19 papers between 2016 and 2026.

Collaborative distances:

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

2026

Multilinear Hyperquiver Representations.

Tommi Muller, Vidit Nanda, Anna Seigal

Found. Comput. Math., April, 2026

Multi-context principal component analysis.

Kexin Wang, Salil Bhate, João M. Pereira, Joe Kileel, Matylda Figlerowicz, Anna Seigal

CoRR, January, 2026

Decomposing Tensors via Rank-One Approximations.

Álvaro Ribot, Emil Horobet, Anna Seigal, Ettore Teixeira Turatti

SIAM J. Matrix Anal. Appl., 2026

2025

Multi-subspace power method for decomposing all tensors.

Kexin Wang, João M. Pereira, Joe Kileel, Anna Seigal

CoRR, October, 2025

Beyond independent component analysis: identifiability and algorithms.

Alvaro Ribot, Anna Seigal, Piotr Zwiernik

CoRR, October, 2025

Supermodular Rank: Set Function Decomposition and Optimization.

Rishi Sonthalia, Anna Seigal, Guido Montúfar

SIAM J. Math. Data Sci., 2025

2024

A Bridge between Invariant Theory and Maximum Likelihood Estimation.

Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal

SIAM Rev., 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

Linear causal disentanglement via higher-order cumulants.

Paula Leyes Carreno, Chiara Meroni, Anna Seigal

CoRR, 2024

2023

Lower bounds on the rank and symmetric rank of real tensors.

Kexin Wang, Anna Seigal

J. Symb. Comput., September, 2023

Principal Components Along Quiver Representations.

Anna Seigal, Heather A. Harrington, Vidit Nanda

Found. Comput. Math., August, 2023

Linear Causal Disentanglement via Interventions.

Chandler Squires, Anna Seigal, Salil S. Bhate, Caroline Uhler

Proceedings of the International Conference on Machine Learning, 2023

2022

Linear Causal Disentanglement via Interventions.

Anna Seigal, Chandler Squires, Caroline Uhler

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

2020

Ranks and symmetric ranks of cubic surfaces.

Anna Seigal

J. Symb. Comput., 2020

2019

Learning Paths from Signature Tensors.

Max Pfeffer, Anna Seigal, Bernd Sturmfels

SIAM J. Matrix Anal. Appl., 2019

2017

Duality of Graphical Models and Tensor Networks.

Elina Robeva, Anna Seigal

CoRR, 2017

2016

Real Rank Two Geometry.

Anna Seigal, Bernd Sturmfels

CoRR, 2016