Max Pfeffer
Max-Planck-Institut für Mathematik in den Naturwissenschaften
Inselstr. 22
04103 Leipzig
Germany
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Contact:
Email
Phone:
+49 341 9959 666
Fax:
+49 341 9959 658
Max Pfeffer
Research interests
- Matrix factorizations
- Riemannian optimization
- Cancer classification
- Tensor product approximation
- Numerics in Quantum Chemistry
- Parametric PDEs
Collaborations
TU München
Felix Krahmer
Tim Fuchs
TU Berlin
Reinhold Schneider
WIAS Berlin
Martin Eigel
Manuel Marshall
FU Berlin
Jens Eisert
KFKI Budapest
Örs Legeza
Curriculum vitae
| Oct. 2017 - Current | Research Assistant at Max-Planck-Institute for Mathematics in the Sciences, Leipzig, Germany |
| Feb. 2014 - Oct. 2017 | PhD Student with Prof. Schneider, Technische Universität Berlin, Germany |
| Oct. 2011 - Jan. 2014 | Master Student at Technische Universität Berlin, Germany |
| Oct. 2008 - June 2009 | Erasmus Exchange at Trinity College Dublin, Ireland |
| Oct. 2007 - Sep. 2011 | Bachelor Student at Technische Universität Berlin, Germany |
Past Workshops:
September 2, 2019: Data Day
March 28 - 29, 2019: Tensormeeting
Publications
Journal Articles
Eigel, Martin ; Marschall, Manuel ; Pfeffer, Max and Schneider, Reinhold:
Adaptive stochastic Galerkin FEM for lognormal coefficients in hierarchical tensor
representations
In: Numerische Mathematik,
145 (2020) 3, p. 655-692
Bibtex MIS-Preprint: 47/2018 DOI: 10.1007/s00211-020-01123-1 ARXIV: https://arxiv.org/abs/1811.00319Pfeffer, Max ; Seigal, Anna and Sturmfels, Bernd:
Learning paths from signature tensors
In: SIAM journal on matrix analysis and applications,
40 (2019) 2, p. 394-416
Bibtex MIS-Preprint: 78/2018 DOI: 10.1137/18M1212331 ARXIV: https://arxiv.org/abs/1809.01588Pfeffer, Max ; Uschmajew, André ; Amaro, Adriana and Pfeffer, Ulrich:
Data fusion techniques for the integration of multi-domain genomic data from uveal
melanoma
In: Cancers,
11 (2019) 10, 1434
Bibtex MIS-Preprint: 42/2019 DOI: 10.3390/cancers11101434Eigel, Martin ; Pfeffer, Max and Schneider, Reinhold:
Adaptive stochastic Galerkin FEM with hierarchical tensor representations
In: Numerische Mathematik,
136 (2017) 3, p. 765-803
Bibtex DOI: 10.1007/s00211-016-0850-x LINK: https://www3.math.tu-berlin.de/preprints/files/Preprint-29-2015.pdfSzalay, Szilárd ; Pfeffer, Max ; Murg, Valentin ; Barcza, Gergely ; Verstraete, Frank ; Schneider, Reinhold and Legeza, Örs:
Tensor product methods and entanglement optimization for ab initio quantum chemistry
In: International journal of quantum chemistry,
115 (2015) 19, p. 1342-1391
Bibtex DOI: 10.1002/qua.24898 ARXIV: https://arxiv.org/abs/1412.5829Preprints
Krumnow, Christian ; Pfeffer, Max and Uschmajew, André:
Computing eigenspaces with low rank constraints
Repository Open AccessAcademic Theses
Pfeffer, Max:
Tensor methods for the numerical solution of high-dimensional parametric partial differential
equations
Dissertation, Technische Universität Berlin, 2018
Bibtex DOI: 10.14279/depositonce-7325Pfeffer, Max:
Aspects of second-order optimization on fixed rank tensor manifolds
Masterarbeit, Technische Universität Berlin, 2015
Bibtex Pfeffer, Max:
Dynamical low rank approximation in novel TT format
Bachelorarbeit, Technische Universität Berlin, 2011
Bibtex