Anna Seigal

20 papers A* 1Journal 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decomposing Tensors via Rank-One Approximations.
SIAM J. Matrix Anal. Appl.
Álvaro Ribot, Emil Horobet, Anna Seigal, Ettore Teixeira Turatti
2026 J jnl
Multi-context principal component analysis.
CoRR
Kexin Wang, Salil Bhate, João M. Pereira, Joe Kileel, Matylda Figlerowicz, Anna Seigal
2025 J jnl
Beyond independent component analysis: identifiability and algorithms.
CoRR
Alvaro Ribot, Anna Seigal, Piotr Zwiernik
2025 J jnl
Multi-subspace power method for decomposing all tensors.
CoRR
Kexin Wang, João M. Pereira, Joe Kileel, Anna Seigal
2025 J jnl
Supermodular Rank: Set Function Decomposition and Optimization.
SIAM J. Math. Data Sci.
Rishi Sonthalia, Anna Seigal, Guido Montúfar
2024 J jnl
A Bridge between Invariant Theory and Maximum Likelihood Estimation.
SIAM Rev.
Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal
2024 J jnl
Corrigendum: Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation.
SIAM J. Appl. Algebra Geom.
Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal
2024 J jnl
Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator.
SIAM J. Appl. Algebra Geom.
Carlos Améndola, Lukas Gustafsson, Kathlén Kohn, Orlando Marigliano, Anna Seigal
2024 J jnl
Linear causal disentanglement via higher-order cumulants.
CoRR
Paula Leyes Carreno, Chiara Meroni, Anna Seigal
2023 A* conf
Linear Causal Disentanglement via Interventions.
ICML
Chandler Squires, Anna Seigal, Salil S. Bhate, Caroline Uhler
2023 J jnl
Lower bounds on the rank and symmetric rank of real tensors.
J. Symb. Comput.
Kexin Wang, Anna Seigal
2023 J jnl
Principal Components Along Quiver Representations.
Found. Comput. Math.
Anna Seigal, Heather A. Harrington, Vidit Nanda
2023 J jnl
Supermodular Rank: Set Function Decomposition and Optimization.
CoRR
Rishi Sonthalia, Anna Seigal, Guido Montúfar
2022 J jnl
Linear Causal Disentanglement via Interventions.
CoRR
Anna Seigal, Chandler Squires, Caroline Uhler
2021 J jnl
Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation.
SIAM J. Appl. Algebra Geom.
Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal
2020 J jnl
Ranks and symmetric ranks of cubic surfaces.
J. Symb. Comput.
Anna Seigal
2019 J jnl
Learning Paths from Signature Tensors.
SIAM J. Matrix Anal. Appl.
Max Pfeffer, Anna Seigal, Bernd Sturmfels
2018 J jnl
Learning Paths from Signature Tensors.
CoRR
Max Pfeffer, Anna Seigal, Bernd Sturmfels
2017 J jnl
Duality of Graphical Models and Tensor Networks.
CoRR
Elina Robeva, Anna Seigal
2016 J jnl
Real Rank Two Geometry.
CoRR
Anna Seigal, Bernd Sturmfels