关注
Mathias Oster
Mathias Oster
在 tu-berlin.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
292022
Approximating the stationary Hamilton-Jacobi-Bellman equation by hierarchical tensor products
M Oster, L Sallandt, R Schneider
arXiv preprint arXiv:1911.00279, 2019
192019
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
172022
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
122021
Coupled cluster theory: Toward an algebraic geometry formulation
FM Faulstich, M Oster
SIAM Journal on Applied Algebra and Geometry 8 (1), 138-188, 2024
112024
Approximating the Stationary Hamilton-Jacobi-Bellman Equation by Hierarchical Tensor Products. arXiv (2021)
M Oster, L Sallandt, R Schneider
arXiv preprint arXiv:1911.00279, 1911
71911
Approximating the stationary bellman equation by hierarchical tensor products
M Oster, L Sallandt, R Schneider
arXiv preprint arXiv:1911.00279, 2019
62019
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
RL Zhu, M Oster, Y Khoo
arXiv preprint arXiv:2406.08954, 2024
2024
Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy
M Bachmayr, W Dahmen, M Oster
arXiv preprint arXiv:2405.20065, 2024
2024
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
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