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Talks and Workshops

Workshop
17:00

Statistical Learning by Means of Tensor Format Representations

  • Mike Espig (Rheinisch-Westfälische Technische Hochschule Aachen)
E1 05 (Leibniz-Saal)

Content

Scientist

Espig, Mike

Westsächsische Hochschule Zwickau
01.02.05 30.09.13 12.12.16 14.12.16

Publications

MiS Preprint
2013 Repository Open Access
Sambasiva Rao Chinnamsetty, Mike Espig and Wolfgang Hackbusch

Mesh-Free Canonical Tensor Products for Six-Dimensional Density Matrix: Computation of Kinetic Energy

MiS Preprint
2013 Repository Open Access
Mike Espig, Henry Auer, Wolfgang Hackbusch, Udo Benedikt and Alexander A. Auer

Tensor Representation Techniques in post-Hartree Fock Methods: Matrix Product State Tensor Format

MiS Preprint
2012 Repository Open Access
Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies and Philipp Wähnert

Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats

MiS Preprint
2012 Repository Open Access
Mike Espig, Kishore Kumar Naraparaju and Jan Schneider

A note on approximation in Tensor Chain format

MiS Preprint
2011 Repository Open Access
Mike Espig, Wolfgang Hackbusch, Stefan Handschuh and Reinhold Schneider

Optimization Problems in Contracted Tensor Networks

MiS Preprint
2011 Repository Open Access
Mike Espig, Wolfgang Hackbusch, Alexander Litvinenko, Hermann G. Matthies and Elmar Zander

Efficient Analysis of High Dimensional Data in Tensor Formats

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