| Approximating optimal feedback controllers of finite horizon control problems using hierarchical tensor formats M Oster, L Sallandt, R Schneider SIAM Journal on Scientific Computing 44 (3), B746-B770, 2022 | 28 | 2022 |
| Approximating the stationary Hamilton-Jacobi-Bellman equation by hierarchical tensor products M Oster, L Sallandt, R Schneider arXiv preprint arXiv:1911.00279, 2019 | 19 | 2019 |
| Approximative policy iteration for exit time feedback control problems driven by stochastic differential equations using tensor train format K Fackeldey, M Oster, L Sallandt, R Schneider Multiscale Modeling & Simulation 20 (1), 379-403, 2022 | 16 | 2022 |
| Reentrant tensegrity: A three-periodic, chiral, tensegrity structure that is auxetic M Oster, MA Dias, T de Wolff, ME Evans Science Advances 7 (50), eabj6737, 2021 | 12 | 2021 |
| Coupled Cluster Theory: Toward an Algebraic Geometry Formulation FM Faulstich, M Oster SIAM Journal on Applied Algebra and Geometry 8 (1), 138-188, 2024 | 10 | 2024 |
| Approximating the stationary bellman equation by hierarchical tensor products M Oster, L Sallandt, R Schneider arXiv preprint arXiv:1911.00279, 2019 | 6 | 2019 |
| Approximating the stationary Hamilton–Jacobi–Bellman equation by hierarchical tensor products. arXiv, 2019 M Oster, L Sallandt, R Schneider arXiv preprint arXiv:1911.00279, 1911 | 6 | 1911 |
| A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control M Oster, L Saluzzi, T Wenzel arXiv preprint arXiv:2402.01402, 2024 | | 2024 |
| Mini-Workshop: Nonlinear Approximation of High-dimensional Functions in Scientific Computing M Oster, P Trunschke | | 2023 |
| On semi-global optimal control problems and their applications in machine learning M Oster Technische Universität Berlin, 2023 | | 2023 |
| Some suggestions concerning the conjecture in:'Tractable semi-algebraic approximation using Christoffel-Darboux kernel' M Oster, R Schneider arXiv preprint arXiv:2203.12889, 2022 | | 2022 |
