Max Pfeffer

18 papers Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient training of Gaussian processes with tensor product structure.
Comput. Optim. Appl.
Josie König, Max Pfeffer, Martin Stoll
2025 J jnl
The Intrinsic Riemannian Proximal Gradient Method for Convex Optimization.
CoRR
Ronny Bergmann, Hajg Jasa, Paula John, Max Pfeffer
2025 J jnl
The Intrinsic Riemannian Proximal Gradient Method for Nonconvex Optimization.
CoRR
Ronny Bergmann, Hajg Jasa, Paula John, Max Pfeffer
2025 J jnl
tPARAFAC2: tracking evolving patterns in (incomplete) temporal data.
Data Min. Knowl. Discov.
Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar
2024 J jnl
The Cone of 5˟ 5 Completely Positive Matrices.
Discret. Comput. Geom.
Max Pfeffer, José Alejandro Samper
2024 J jnl
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data.
CoRR
Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar
2023 — conf
A Time-Aware Tensor Decomposition for Tracking Evolving Patterns.
MLSP
Christos Chatzis, Max Pfeffer, Pedro G. Lind, Evrim Acar
2023 J jnl
A Time-aware tensor decomposition for tracking evolving patterns.
CoRR
Christos Chatzis, Max Pfeffer, Pedro G. Lind, Evrim Acar
2023 J jnl
A weighted subspace exponential kernel for support tensor machines.
CoRR
Kirandeep Kour, Sergey Dolgov, Peter Benner, Martin Stoll, Max Pfeffer
2023 J jnl
Riemannian thresholding methods for row-sparse and low-rank matrix recovery.
Numer. Algorithms
Henrik Eisenmann, Felix Krahmer, Max Pfeffer, André Uschmajew
2021 J jnl
Computing Eigenspaces With Low Rank Constraints.
SIAM J. Sci. Comput.
Christian Krumnow, Max Pfeffer, André Uschmajew
2021 J jnl
Particle Number Conservation and Block Structures in Matrix Product States.
CoRR
Markus Bachmayr, Michael Götte, Max Pfeffer
2021 J jnl
Riemannian thresholding methods for row-sparse and low-rank matrix recovery.
CoRR
Henrik Eisenmann, Felix Krahmer, Max Pfeffer, André Uschmajew
2021 J jnl
The cone of 5×5 completely positive matrices.
CoRR
Max Pfeffer, José Alejandro Samper
2020 J jnl
Adaptive stochastic Galerkin FEM for lognormal coefficients in hierarchical tensor representations.
Numerische Mathematik
Martin Eigel, Manuel Marschall, Max Pfeffer, Reinhold Schneider
2019 J jnl
Learning Paths from Signature Tensors.
SIAM J. Matrix Anal. Appl.
Max Pfeffer, Anna Seigal, Bernd Sturmfels
2018 J jnl
Learning Paths from Signature Tensors.
CoRR
Max Pfeffer, Anna Seigal, Bernd Sturmfels
2017 J jnl
Adaptive stochastic Galerkin FEM with hierarchical tensor representations.
Numerische Mathematik
Martin Eigel, Max Pfeffer, Reinhold Schneider