| Tensor product methods and entanglement optimization for ab initio quantum chemistry S Szalay, M Pfeffer, V Murg, G Barcza, F Verstraete, R Schneider, ... International Journal of Quantum Chemistry 115 (19), 1342-1391, 2015 | 311 | 2015 |
| Adaptive stochastic Galerkin FEM with hierarchical tensor representations M Eigel, M Pfeffer, R Schneider Numerische Mathematik 136, 765-803, 2017 | 68 | 2017 |
| Learning paths from signature tensors M Pfeffer, A Seigal, B Sturmfels SIAM Journal on Matrix Analysis and Applications 40 (2), 394-416, 2019 | 27 | 2019 |
| Adaptive stochastic Galerkin FEM for lognormal coefficients in hierarchical tensor representations M Eigel, M Marschall, M Pfeffer, R Schneider Numerische Mathematik 145, 655-692, 2020 | 26 | 2020 |
| Data fusion techniques for the integration of multi-domain genomic data from uveal melanoma M Pfeffer, A Uschmajew, A Amaro, U Pfeffer Cancers 11 (10), 1434, 2019 | 12 | 2019 |
| Particle number conservation and block structures in matrix product states M Bachmayr, M Götte, M Pfeffer Calcolo 59 (2), 24, 2022 | 7 | 2022 |
| Riemannian thresholding methods for row-sparse and low-rank matrix recovery H Eisenmann, F Krahmer, M Pfeffer, A Uschmajew Numerical Algorithms 93 (2), 669-693, 2023 | 5 | 2023 |
| Tensor methods for the numerical solution of high-dimensional parametric partial differential equations M Pfeffer PQDT-Global, 2018 | 5 | 2018 |
| Evaluation and Comparison of Multi-Omics Data Integration Methods for Subtyping of Cutaneous Melanoma A Amaro, M Pfeffer, U Pfeffer, F Reggiani Biomedicines 10 (12), 3240, 2022 | 2 | 2022 |
| The Cone of Completely Positive Matrices M Pfeffer, JA Samper Discrete & Computational Geometry, 1-25, 2024 | 1 | 2024 |
| A weighted subspace exponential kernel for support tensor machines K Kour, S Dolgov, P Benner, M Stoll, M Pfeffer arXiv preprint arXiv:2302.08134, 2023 | 1 | 2023 |
| Computing eigenspaces with low rank constraints C Krumnow, M Pfeffer, A Uschmajew SIAM Journal on Scientific Computing 43 (1), A586-A608, 2021 | 1 | 2021 |
| Machine Learning Methods for Gene Selection in Uveal Melanoma F Reggiani, Z El Rashed, M Petito, M Pfeffer, A Morabito, ET Tanda, ... International Journal of Molecular Sciences 25 (3), 1796, 2024 | | 2024 |
| Efficient training of Gaussian processes with tensor product structure J König, M Pfeffer, M Stoll arXiv preprint arXiv:2312.15305, 2023 | | 2023 |
| A Time-aware tensor decomposition for tracking evolving patterns C Chatzis, M Pfeffer, P Lind, E Acar 2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023 | | 2023 |
| The cone of completely positive matrices M Pfeffer, JA Samper arXiv preprint arXiv:2108.11928, 2021 | | 2021 |
| Development of data fusion techniques for the integration of multi-domain genomic data from uveal melanoma M Pfeffer, A Uschmajew, A Amaro, U Pfeffer | | 2019 |
| Riemannian BFGS on the Tensor Train component space using an inherited tensor metric M Pfeffer, R Schneider Book of Abstracts-Extract, 10, 2015 | | 2015 |
| Allgemeine Informationen zur Vorlesung Optimierung I A Uschmajew, M Pfeffer | | |
