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Max Pfeffer
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2020 – today
- 2024
- [j6]Max Pfeffer
, José Alejandro Samper:
The Cone of 5˟ 5 Completely Positive Matrices. Discret. Comput. Geom. 71(2): 442-466 (2024) - [i7]Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar:
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data. CoRR abs/2407.01356 (2024) - 2023
- [j5]Henrik Eisenmann
, Felix Krahmer, Max Pfeffer
, André Uschmajew:
Riemannian thresholding methods for row-sparse and low-rank matrix recovery. Numer. Algorithms 93(2): 669-693 (2023) - [c1]Christos Chatzis, Max Pfeffer
, Pedro G. Lind, Evrim Acar:
A Time-Aware Tensor Decomposition for Tracking Evolving Patterns. MLSP 2023: 1-6 - [i6]Kirandeep Kour, Sergey Dolgov, Peter Benner, Martin Stoll, Max Pfeffer
:
A weighted subspace exponential kernel for support tensor machines. CoRR abs/2302.08134 (2023) - [i5]Christos Chatzis, Max Pfeffer
, Pedro G. Lind, Evrim Acar:
A Time-aware tensor decomposition for tracking evolving patterns. CoRR abs/2308.07126 (2023) - 2021
- [j4]Christian Krumnow, Max Pfeffer
, André Uschmajew:
Computing Eigenspaces With Low Rank Constraints. SIAM J. Sci. Comput. 43(1): A586-A608 (2021) - [i4]Henrik Eisenmann, Felix Krahmer, Max Pfeffer
, André Uschmajew:
Riemannian thresholding methods for row-sparse and low-rank matrix recovery. CoRR abs/2103.02356 (2021) - [i3]Markus Bachmayr, Michael Götte, Max Pfeffer:
Particle Number Conservation and Block Structures in Matrix Product States. CoRR abs/2104.13483 (2021) - [i2]Max Pfeffer
, José Alejandro Samper:
The cone of 5×5 completely positive matrices. CoRR abs/2108.11928 (2021) - 2020
- [j3]Martin Eigel, Manuel Marschall, Max Pfeffer
, Reinhold Schneider:
Adaptive stochastic Galerkin FEM for lognormal coefficients in hierarchical tensor representations. Numerische Mathematik 145(3): 655-692 (2020)
2010 – 2019
- 2019
- [j2]Max Pfeffer
, Anna Seigal
, Bernd Sturmfels
:
Learning Paths from Signature Tensors. SIAM J. Matrix Anal. Appl. 40(2): 394-416 (2019) - 2018
- [i1]Max Pfeffer, Anna Seigal, Bernd Sturmfels:
Learning Paths from Signature Tensors. CoRR abs/1809.01588 (2018) - 2017
- [j1]Martin Eigel, Max Pfeffer
, Reinhold Schneider:
Adaptive stochastic Galerkin FEM with hierarchical tensor representations. Numerische Mathematik 136(3): 765-803 (2017)
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