Articles with public access mandates - Patrick GelßLearn more
Available somewhere: 13
Mutational hierarchies in myelodysplastic syndromes dynamically adapt and evolve upon therapy response and failure
M Mossner, JC Jann, J Wittig, F Nolte, S Fey, V Nowak, J Obländer, ...
Blood, The Journal of the American Society of Hematology 128 (9), 1246-1259, 2016
Mandates: German Research Foundation, European Commission
Tensor-based dynamic mode decomposition
S Klus, P Gelß, S Peitz, C Schütte
Nonlinearity 31 (7), 3359, 2018
Mandates: German Research Foundation
Multidimensional approximation of nonlinear dynamical systems
P Gelß, S Klus, J Eisert, C Schütte
Journal of Computational and Nonlinear Dynamics 14 (6), 061006, 2019
Mandates: German Research Foundation, European Commission
Tensor-based algorithms for image classification
S Klus, P Gelß
Algorithms 12 (11), 240, 2019
Mandates: US National Science Foundation, German Research Foundation
Nearest-neighbor interaction systems in the tensor-train format
P Gelß, S Klus, S Matera, C Schütte
Journal of Computational Physics 341, 140-162, 2017
Mandates: German Research Foundation
Improved local models and new Bell inequalities via Frank-Wolfe algorithms
S Designolle, G Iommazzo, M Besançon, S Knebel, P Gelß, S Pokutta
Physical Review Research 5 (4), 043059, 2023
Mandates: European Commission, Federal Ministry of Education and Research, Germany
Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
S Klus, P Gelß, F Nüske, F Noé
Machine Learning: Science and Technology 2 (4), 045016, 2021
Mandates: German Research Foundation, European Commission, Federal Ministry of …
Tensor-based computation of metastable and coherent sets
F Nüske, P Gelß, S Klus, C Clementi
Physica D: Nonlinear Phenomena 427, 133018, 2021
Mandates: US National Science Foundation, German Research Foundation
Solving the time-independent Schrödinger equation for chains of coupled excitons and phonons using tensor trains
P Gelß, R Klein, S Matera, B Schmidt
The Journal of Chemical Physics 156 (2), 2022
Mandates: German Research Foundation
Feature space approximation for kernel-based supervised learning
P Gelß, S Klus, I Schuster, C Schütte
Knowledge-Based Systems 221, 106935, 2021
Mandates: German Research Foundation
Fredholm integral equations for function approximation and the training of neural networks
P Gelß, A Issagali, R Kornhuber
SIAM Journal on Mathematics of Data Science 6 (4), 1078-1108, 2024
Mandates: European Commission
Existence and uniqueness of solutions of the Koopman–von Neumann equation on bounded domains
M Stengl, P Gelß, S Klus, S Pokutta
Journal of Physics A: Mathematical and Theoretical 57 (39), 395302, 2024
Mandates: European Commission
WaveTrain: A Python package for numerical quantum mechanics of chain-like systems based on tensor trains
J Riedel, P Gelß, R Klein, B Schmidt
The Journal of Chemical Physics 158 (16), 2023
Mandates: German Research Foundation
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