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- Publications
- Influence
Low-rank tensor completion by Riemannian optimization
- D. Kressner, M. Steinlechner, B. Vandereycken
- Mathematics
- 1 June 2014
In tensor completion, the goal is to fill in missing entries of a partially known tensor under a low-rank constraint. We propose a new algorithm that performs Riemannian optimization techniques on… Expand
Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems
- D. Kressner, C. Tobler
- Mathematics, Computer Science
- SIAM J. Matrix Anal. Appl.
- 1 November 2011
TLDR
A literature survey of low‐rank tensor approximation techniques
- L. Grasedyck, D. Kressner, C. Tobler
- Computer Science, Mathematics
- 28 February 2013
TLDR
Algorithm 941
- D. Kressner, C. Tobler
- Computer Science
- ACM Trans. Math. Softw.
- 1 April 2014
TLDR
A block Newton method for nonlinear eigenvalue problems
- D. Kressner
- Mathematics, Computer Science
- Numerische Mathematik
- 13 November 2009
TLDR
Krylov Subspace Methods for Linear Systems with Tensor Product Structure
- D. Kressner, C. Tobler
- Mathematics, Computer Science
- SIAM J. Matrix Anal. Appl.
- 2010
TLDR
Learning Heat Diffusion Graphs
- Dorina Thanou, X. Dong, D. Kressner, P. Frossard
- Computer Science, Mathematics
- IEEE Transactions on Signal and Information…
- 4 November 2016
TLDR
Parallel algorithms for tensor completion in the CP format
- L. Karlsson, D. Kressner, A. Uschmajew
- Computer Science
- Parallel Comput.
- 1 September 2016
TLDR
Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems
- D. Kressner, C. Tobler
- Mathematics, Computer Science
- Comput. Methods Appl. Math.
- 2011
TLDR
Accelerated filtering on graphs using Lanczos method
- Ana Susnjara, Nathanael Perraudin, D. Kressner, Pierre Vandergheynst
- Mathematics
- 15 September 2015
Signal-processing on graphs has developed into a very active field of research during the last decade. In particular, the number of applications using frames constructed from graphs, like wavelets on… Expand