Anna Seigal

Anna Seigal

University of Oxford

H-index: 12

Europe-United Kingdom

About Anna Seigal

Anna Seigal, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Applied Algebra, Tensors, Applied Algebraic Geometry, Algebraic Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Identifiability of overcomplete independent component analysis

Principal components along quiver representations

Linear causal disentanglement via interventions

Applied Math 210: Algebraic Fundamentals of Representing Data

Rectifiable paths with polynomial log-signature are straight lines

Symmetries in directed Gaussian graphical models

Supermodular Rank: Set Function Decomposition and Optimization

Complete collineations for maximum likelihood estimation

Anna Seigal Information

University

Position

Hooke Research Fellow

Citations(all)

521

Citations(since 2020)

466

Cited By

169

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Anna Seigal Skills & Research Interests

Applied Algebra

Tensors

Applied Algebraic Geometry

Algebraic Statistics

Top articles of Anna Seigal

Title

Journal

Author(s)

Publication Date

Identifiability of overcomplete independent component analysis

arXiv preprint arXiv:2401.14709

Kexin Wang

Anna Seigal

2024/1/26

Principal components along quiver representations

Foundations of Computational Mathematics

Anna Seigal

Heather A Harrington

Vidit Nanda

2023/8

Linear causal disentanglement via interventions

Chandler Squires

Anna Seigal

Salil S Bhate

Caroline Uhler

2023/7/3

Applied Math 210: Algebraic Fundamentals of Representing Data

Anna Seigal

2023

Rectifiable paths with polynomial log-signature are straight lines

arXiv preprint arXiv:2305.19210

Peter K Friz

Terry Lyons

Anna Seigal

2023/5/30

Symmetries in directed Gaussian graphical models

Electronic Journal of Statistics

Visu Makam

Philipp Reichenbach

Anna Seigal

2023

Supermodular Rank: Set Function Decomposition and Optimization

arXiv preprint arXiv:2305.14632

Rishi Sonthalia

Anna Seigal

Guido Montufar

2023/5/24

Complete collineations for maximum likelihood estimation

arXiv preprint arXiv:2311.03329

Gergely Bérczi

Eloise Hamilton

Philipp Reichenbach

Anna Seigal

2023/11/6

Multilinear Hyperquiver Representations

arXiv preprint arXiv:2305.05622

Tommi Muller

Vidit Nanda

Anna Seigal

2023/5/9

Lower bounds on the rank and symmetric rank of real tensors

Journal of Symbolic Computation

Kexin Wang

Anna Seigal

2023/9/1

Differential equations for Gaussian statistical models with rational maximum likelihood estimator

arXiv preprint arXiv:2304.12054

Carlos Améndola

Lukas Gustafsson

Kathlén Kohn

Orlando Marigliano

Anna Seigal

2023/4/24

Deciphering causal genomic templates of complex molecular phenotypes

bioRxiv

Salil S Bhate

Anna Seigal

Juan Caicedo

2022/8/15

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Cell

David J Ahern

Zhichao Ai

Mark Ainsworth

Chris Allan

Alice Allcock

...

2022/3/3

The maximum likelihood degree of linear spaces of symmetric matrices

Le Matematiche

Carlos Améndola

Lukas Gustafsson

Kathlén Kohn

Orlando Marigliano

Anna Seigal

2021/10/10

Invariant theory and scaling algorithms for maximum likelihood estimation

SIAM Journal on Applied Algebra and Geometry

C Améndola

K Kohn

P Reichenbach

AL Seigal

2021

Toric invariant theory for maximum likelihood estimation in log-linear models

Algebraic Statistics

Carlos Améndola

Kathlén Kohn

Philipp Reichenbach

Anna Seigal

2021/12/13

Ranks and symmetric ranks of cubic surfaces

Journal of Symbolic Computation

Anna Seigal

2020/11/1

Ranks and singularities of cubic surfaces

Le Matematiche

ANNA Seigal

Eunice Sukarto

2020/9/9

See List of Professors in Anna Seigal University(University of Oxford)