
Max Pfeffer
Max-Planck-Institut für Mathematik in den Naturwissenschaften
Inselstr. 22
04103 Leipzig
Germany
Office: F3 04
Contact: Email
Phone:
+49 341 9959 756
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