Mathias Oster

According to our database, Mathias Oster authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Preconditioning and Numerical Stability in Neural Network Training for Parametric PDEs.

Markus Bachmayr, Wolfgang Dahmen, Chenguang Duan, Mathias Oster

CoRR, January, 2026

2025

Neural network approximation of regularized density functionals.

Mihály András Csirik, Andre Laestadius, Mathias Oster

CoRR, November, 2025

A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control.

Mathias Oster, Luca Saluzzi, Tizian Wenzel

Dyn. Games Appl., May, 2025

Optimization-Free Diffusion Model - A Perturbation Theory Approach.

Yuehaw Khoo, Mathias Oster, Yifan Peng

CoRR, May, 2025

2024

Coupled Cluster Theory: Toward an Algebraic Geometry Formulation.

Fabian M. Faulstich, Mathias Oster

SIAM J. Appl. Algebra Geom., March, 2024

Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy.

Markus Bachmayr, Wolfgang Dahmen, Mathias Oster

CoRR, 2024

S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization.

Licheng Zhu, Mathias Oster, Yuehaw Khoo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Approximating Optimal feedback Controllers of Finite Horizon Control Problems Using Hierarchical Tensor Formats.

Mathias Oster, Leon Sallandt, Reinhold Schneider

SIAM J. Sci. Comput., 2022

Approximative Policy Iteration for Exit Time Feedback Control Problems Driven by Stochastic Differential Equations using Tensor Train Format.

Konstantin Fackeldey, Mathias Oster, Leon Sallandt, Reinhold Schneider

Multiscale Model. Simul., 2022