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  • B01
    M. Oster, L. Saluzzi, T. Wenzel

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

    Journal Article 2025

    doi.org

  • B01
    Y. Khoo, M. Oster, Y. Peng

    Optimization-Free Diffusion Model - A Perturbation Theory Approach

    Preprint 2025

    doi.org

  • B02
    M. Bachmayr, H. Yang

    Sparse and low-rank approximations of parametric elliptic PDEs: the best of both worlds

    Preprint 2025

    doi.org

  • B04 B05 B06
    C. M. Fiedler, M. Herty, C. Segala, J. S. Trimpe

    Recent kernel methods for interacting particle systems: first numerical results

    Journal Article 2024

    doi.org

  • G. Oblapenko

    A Non-Negative Least Squares-based Approach for Moment-Preserving Particle Merging

    Preprint 2024

    doi.org

  • B04
    G. Oblapenko, A. Tarnovskiy, M. Ertl, M. Torrilhon

    Entropy-stable fluxes for high-order Discontinuous Galerkin simulations of high-enthalpy flows

    Preprint 2024

    doi.org

  • C06
    V.A. Emelyanov, D. Robertz

    Coordinate- and spacetime-independent quantum physics

    Preprint 2024

    doi.org

  • C04
    T. C. Corso, M. Hassan, A. Jha, B. Stamm

    Trace estimates for harmonic functions along circular arcs with applications to domain decomposition on overlapping disks

    Preprint 2024

    doi.org

  • S. Boisserée, E. Moulas, M. Bachmayr

    Fluid flow channeling and mass transport with discontinuous porosity distribution

    Preprint 2024

    doi.org

  • B01
    R. Schneider, M. Oster

    Some Thoughts on Compositional Tensor Networks

    Journal Article 2024

    doi.org

  • B01
    A. Kunoth, M. Oster, R. Schneider

    Towards Continuous Mathematical Models for the Analysis of Classes of Deep Neural Networks

    Journal Article 2024

    doi.org

  • A09
    V. Hoang, S. Krumscheid, H. Rauhut, R. Tempone

    On the adversarial training of deep learning models

    Poster 2024

    bibtex publications.rwth-aachen.de

  • M. Bachmayr, M. Faldum

    A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations

    Journal Article 2024

    bibtex publications.rwth-aachen.de doi.org

  • S. Schmitz, K. Büsing, M. Koster, O. Krumke

    Two-stage robust combinatorial optimization problems with consistent decisions under discrete demand uncertainty and an application to appointment scheduling in primary health care

    Dissertation / PhD Thesis pp. 1 Online-Ressource : Illustrationen, 2024

    bibtex publications.rwth-aachen.de

  • M. Bachmayr, R. Bardin, M. Schlottbom

    Low-rank tensor product Richardson iteration for radiative transfer in plane-parallel geometry

    Preprint pp. 22 Seiten, 2024

    bibtex publications.rwth-aachen.de doi.org

  • B01
    L. Zhu, M. Oster, Y. Khoo

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

    Preprint 2024

    bibtex publications.rwth-aachen.de doi.org

  • B01
    M. Bachmayr, W. Dahmen, M. Oster

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

    Preprint 2024

    bibtex publications.rwth-aachen.de doi.org

  • C04
    T. C. Corso, M. Hassan, A. Jha, B. Stamm

    A L2-maximum principle for circular arcs on the disk

    Preprint 2024

    doi.org

  • B04 B05
    M. Gugat, M. Herty, J. Liu, C. Segala

    The turnpike property for high‐dimensional interacting agent systems in discrete time

    Journal Article Optimal control, applications and methods | 2024

    bibtex publications.rwth-aachen.de doi.org

  • A07
    B. Epping, A. René, M. Helias, M. T. Schaub

    Graph Neural Networks Do Not Always Oversmooth

    Preprint 2024

    doi.org