Thomas Mach

Thomas Mach

Universität Potsdam

H-index: 13

Europe-Germany

About Thomas Mach

Thomas Mach, With an exceptional h-index of 13 and a recent h-index of 7 (since 2020), a distinguished researcher at Universität Potsdam, specializes in the field of numerical linear algebra, eigenvalue problems, hierarchical matrices, inverse problems.

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

Tikhonov regularization in general form with Chebfun

Solving the parametric eigenvalue problem by Taylor series and Chebyshev expansion

Adaptive cross approximation for Tikhonov regularization in general form

Can one hear the depth of the water?

Solution of ill-posed problems with Chebfun

From Hyperbolic Geometry Back to Word Embeddings

New matrix function approximations and quadrature rules based on the Arnoldi process

Hyperbolic embedding for finding syntax in BERT

Thomas Mach Information

University

Position

Postdoc at the Institute for Mathematics

Citations(all)

416

Citations(since 2020)

225

Cited By

317

hIndex(all)

13

hIndex(since 2020)

7

i10Index(all)

17

i10Index(since 2020)

6

Email

University Profile Page

Universität Potsdam

Google Scholar

View Google Scholar Profile

Thomas Mach Skills & Research Interests

numerical linear algebra

eigenvalue problems

hierarchical matrices

inverse problems

Top articles of Thomas Mach

Title

Journal

Author(s)

Publication Date

Tikhonov regularization in general form with Chebfun

PAMM

Abdulaziz Alqahtani

Thomas Mach

Lothar Reichel

2023/3

Solving the parametric eigenvalue problem by Taylor series and Chebyshev expansion

arXiv preprint arXiv:2302.03661

Thomas Mach

Melina A Freitag

2023/2/7

Adaptive cross approximation for Tikhonov regularization in general form

Numerical Algorithms

Thomas Mach

Lothar Reichel

Marc Van Barel

2023/1

Can one hear the depth of the water?

PAMM

Melina A Freitag

Pavel Kříž

Thomas Mach

Jan Martin Nicolaus

2023/12

Solution of ill-posed problems with Chebfun

Numerical Algorithms

Abdulaziz Alqahtani

Thomas Mach

Lothar Reichel

2023/4

From Hyperbolic Geometry Back to Word Embeddings

arXiv preprint arXiv:2204.12481

Sultan Nurmukhamedov

Thomas Mach

Arsen Sheverdin

Zhenisbek Assylbekov

2022/4/26

New matrix function approximations and quadrature rules based on the Arnoldi process

Nasim Eshghi

Thomas Mach

Lothar Reichel

2021/8/1

Hyperbolic embedding for finding syntax in BERT

CEUR Workshop Proc., Milan, Italy

Temirlan Auyespek

Thomas Mach

Zhenisbek Assylbekov

2021/12/1

Pole-swapping algorithms for alternating and palindromic eigenvalue problems

Vietnam Journal of Mathematics

Thomas Mach

Thijs Steel

Raf Vandebril

David S Watkins

2020/12

Continuous Adaptive Cross Approximation for Ill-posed Problems with Chebfun

arXiv preprint arXiv:2007.16137

Abdulaziz Alqahtani

Thomas Mach

Lothar Reichel

2020/7/31

Computing the Eigenvalues of Large Hadamard Matrix Functions using Low Rank Approximations

XXI Householder Symposium on Numerical Linear Algebra

Omar De La Cruz Cabrera

Thomas Mach

Lothar Reichel

2020/6/14

See List of Professors in Thomas Mach University(Universität Potsdam)

Co-Authors

H-index: 36
Marc Van Barel

Marc Van Barel

Katholieke Universiteit Leuven

H-index: 34
David Watkins

David Watkins

Washington State University

H-index: 26
Stefan Güttel

Stefan Güttel

Manchester University

H-index: 24
Steffen Börm

Steffen Börm

Christian-Albrechts-Universität zu Kiel

H-index: 22
Raf Vandebril

Raf Vandebril

Katholieke Universiteit Leuven

H-index: 16
Melina Freitag

Melina Freitag

Universität Potsdam

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