World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5008
World Ranking
12175
National Ranking
203

Mathematics

D-Index
35
Citations
5412
World Ranking
2771
National Ranking
49

Overview

Daniel Kressner is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans several fields within computer science and mathematics, with a primary focus on computational theory, computational mechanics, and computational mathematics. The body of work covers a range of topics related to numerical methods and algorithms, particularly those related to matrix computations and tensor decompositions.

Their publication record includes contributions to highly specialized areas such as matrix theory and algorithms, tensor decomposition and applications, and sparse and compressive sensing techniques. Additional research topics include model reduction, neural networks, electromagnetic scattering and analysis, stochastic gradient optimization techniques, and advanced optimization algorithms research.

Frequent co-authors collaborating with Daniel Kressner are Alice Cortinovis, Stefano Massei, Haoze He, Hei Yin Lam, and Leonardo Robol.

Key recent papers authored or co-authored by Daniel Kressner are:

  • hm-toolbox: MATLAB Software for HODLR and HSS Matrices, 2020, SIAM Journal on Scientific Computing
  • On randomized trace estimates for indefinite matrices with an application to determinants, 2022, CINECA IRIS Institutial research information system (University of Pisa)
  • Low-rank approximation in the Frobenius norm by column and row subset selection, 2020, CINECA IRIS Institutial research information system (University of Pisa)
  • Improved Variants of the Hutch++ Algorithm for Trace Estimation, 2022, SIAM Journal on Matrix Analysis and Applications
  • On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices, 2020, CINECA IRIS Institutial research information system (University of Pisa)

The venues where Daniel Kressner frequently publishes include:

  • arXiv (Cornell University)
  • SIAM Journal on Matrix Analysis and Applications
  • SIAM Journal on Scientific Computing
  • CINECA IRIS Institutial research information system (University of Pisa)
  • Numerical Linear Algebra with Applications

The main academic fields of their research are Computer Science and Mathematics, with the distribution of works indicating a strong emphasis on computational and theoretical aspects within these disciplines.

Best Publications

  • A literature survey of low-rank tensor approximation techniques

    Lars Grasedyck;Daniel Kressner;Christine Tobler

  • Low-rank tensor completion by Riemannian optimization

    Daniel Kressner;Michael Steinlechner;Bart Vandereycken

  • Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems

    Daniel Kressner;Christine Tobler

  • Block variants of Hammarling's method for solving Lyapunov equations

    Daniel Kressner

  • Krylov Subspace Methods for Linear Systems with Tensor Product Structure

    Daniel Kressner;Christine Tobler

  • Learning Heat Diffusion Graphs

    Dorina Thanou;Xiaowen Dong;Daniel Kressner;Pascal Frossard

  • Numerical methods for general and structured eigenvalue problems

    Daniel Kressner

  • A block Newton method for nonlinear eigenvalue problems

    Daniel Kressner

  • Implicit QR algorithms for palindromic and even eigenvalue problems

    Daniel Kressner;Christian Schröder;David S. Watkins

  • Distributed Signal Processing via Chebyshev Polynomial Approximation

    David I Shuman;Pierre Vandergheynst;Daniel Kressner;Pascal Frossard

  • Parallel algorithms for tensor completion in the CP format

    Lars Karlsson;Daniel Kressner;André Uschmajew

  • Chebyshev interpolation for nonlinear eigenvalue problems

    Cedric Effenberger;Daniel Kressner

  • Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems

    Daniel Kressner;Michael Steinlechner;Andr ´ E Uschmajew

  • Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems

    Daniel Kressner;Christine Tobler

  • Structured Eigenvalue Condition Numbers

    Michael Karow;Daniel Kressner;Franc¸oise Tisseur

  • Algorithm 941: htucker---A Matlab Toolbox for Tensors in Hierarchical Tucker Format

    Daniel Kressner;Christine Tobler

  • Structured Condition Numbers for Invariant Subspaces

    Ralph Byers;Daniel Kressner

  • Skew-Hamiltonian and Hamiltonian Eigenvalue Problems: Theory, Algorithms and Applications

    Peter Benner;Daniel Kressner;Volker Mehrmann

  • Accelerated filtering on graphs using Lanczos method

    Ana Susnjara;Nathanael Perraudin;Daniel Kressner;Pierre Vandergheynst

  • Accelerated filtering on graphs using Lanczos method

    Ana Susnjara;Nathanael Perraudin;Daniel Kressner;Pierre Vandergheynst

  • A literature survey of low-rank tensor approximation techniques

    Lars Grasedyck;Daniel Kressner;Christine Tobler

  • Fusion of digital elevation models using sparse representations

    Haris Papasaika;Effrosyni Kokiopoulou;Emmanuel Baltsavias;Konrad Schindler

  • Numerical Mathematics and Advanced Applications - ENUMATH 2013

    Assyr Abdulle;Simone Deparis;Daniel Kressner;Fabio Nobile

Frequent Co-Authors

Peter Benner
Peter Benner Max Planck Institute for Dynamics of Complex Technical Systems
Bo Kågström
Bo Kågström Umeå University
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Fabio Nobile
Fabio Nobile École Polytechnique Fédérale de Lausanne
Enrique S. Quintana-Ortí
Enrique S. Quintana-Ortí Universitat Politècnica de València
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Valeria Simoncini
Valeria Simoncini University of Bologna
Assyr Abdulle
Assyr Abdulle École Polytechnique Fédérale de Lausanne
Michele Benzi
Michele Benzi Scuola Normale Superiore di Pisa

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can open doors to diverse career pathways. Many professionals complement their math skills with advanced business knowledge by enrolling in some of the shortest online MBA programs. These programs offer flexibility and accelerated timelines, making it easier to balance studies with ongoing careers.

Another popular route is obtaining a masters in marketing. This degree allows math graduates to apply analytical and quantitative skills to consumer behavior and data-driven marketing strategies.

For those seeking even faster options, some of the 12 month MBA programs provide an intensive curriculum that can quickly boost leadership and management capabilities, complementing a math background effectively.

Lastly, students who have prior coursework might consider programs with flexible credit policies. Top MBA transfer credits options can reduce the time and cost needed to complete advanced degrees, helping math professionals accelerate their career advancement.

Best Scientists Citing Daniel Kressner

Trending Scientists

Recently Published Articles