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| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Niederkofler, David ; Feischl, Michael ; Henríquez, Fernando | Optimal adaptive time stepping for evolution problems | Presentation Vortrag | 24-Mar-2026 |
| 2 | | Schneider, Fabian | Score Based Diffusion Models for Bayesian Inverse Problems | Presentation Vortrag | 12-Feb-2026 |
| 3 | | Schneider, Fabian ; Mozumder, Meghdoot ; Tamarov, Konstantin ; Taghizadeh, Leila ; Tarvainen, Tanja ; Helin, Tapio ; Duong, Duc Lam | Score-based diffusion models for diffuse optical tomography with uncertainty quantification | Preprint Preprint | 3-Feb-2026 |
| 4 | | Paraschis, Panagiotis | hp-Version discontinuous Galerkin methods for the p-Laplacian | Presentation Vortrag | 19-Dec-2025 |
| 5 | | Zehetgruber, Fabian Kleon ; Feischl, Michael | Computational Math with Neural Networks is Hard | Presentation Vortrag | 4-Dec-2025 |
| 6 | | Schneider, Fabian ; Duc-Lam Duong ; Lassas, Matti ; de Hoop, Maarten V. ; Helin, Tapio | Diffusion models in infinite dimensions for CT–imaging | Presentation Vortrag | 7-Nov-2025 |
| 7 | | Schneider, Fabian ; Duong, Duc-Lam ; Lassas, Matti ; de Hoop, Maarten V. ; Helin, Tapio | An Unconditional Representation of the Conditional Score in Infinite Dimensional Linear Inverse Problems | Article Artikel    | Nov-2025 |
| 8 | | Henriquez Barraza, Fernando Jose | Shape Holomorphy of Boundary Integral Operators with Applications to Uncertainty Quantification | Presentation Vortrag | 22-Oct-2025 |
| 9 | | Feischl, Michael | Optimal adaptive timestepping | Presentation Vortrag | 19-Sep-2025 |
| 10 | | Zehetgruber, Fabian Kleon | Iterative Approximation of Solution Operators for PDEs with Neural Networks | Presentation Vortrag | 9-Sep-2025 |
| 11 | | Osborne, Conor Nelson | Convergence rates of deep Gaussian processes | Inproceedings Konferenzbeitrag | 1-Sep-2025 |
| 12 | | Feischl, Michael ; Rieder, Alexander ; Zehetgruber, Fabian Kleon | Towards optimal hierarchical training of neural networks | Article Artikel | 22-Aug-2025 |
| 13 | | Feischl, Michael | Fundamental order bounds for numerical algorithms on Neural Networks | Presentation Vortrag | 17-Jul-2025 |
| 14 | | Feischl, Michael | Towards Optimal Hierarchical Training of Neural Networks | Presentation Vortrag | 14-Jul-2025 |
| 15 | | Henriquez Barraza, Fernando Jose | Model Order Reduction for the Space-Time Boundary Element Formulation of the Heat Equation | Presentation Vortrag | 14-Jul-2025 |
| 16 | | Alde, Michele ; Feischl, Michael ; Praetorius, Dirk | Weak and strong convergence of a BDF2-type integrator for the Landau–Lifshitz–Gilbert equation in micromagnetics | Inproceedings Konferenzbeitrag | 26-Jun-2025 |
| 17 | | Feischl, Michael ; Niederkofler, David ; Wohlmuth, Barbara | Well-Posedness of Fully Discrete Fractional Elasto-Plasticity | Inproceedings Konferenzbeitrag | 19-Jun-2025 |
| 18 | | Feischl, Michael | Optimal adaptivity for time dependent problems | Presentation Vortrag | 10-Jun-2025 |
| 19 | | Niederkofler, David | Well-Posedness of Discretizations for Fractional Elasto-Plasticity | Presentation Vortrag | 24-May-2025 |
| 20 | | Feischl, Michael | Optimal convergence rates in the context of neural networks | Presentation Vortrag | 14-May-2025 |
| 21 | | Henriquez Barraza, Fernando Jose ; Hesthaven, Jan S. | Model Order Reduction for Time-Dependent Problems Using the Laplace Transform | Inproceedings Konferenzbeitrag | 8-May-2025 |
| 22 | | Henriquez Barraza, Fernando Jose | Fast Solution of the Wave Equation Using Model Order Reduction and the Laplace Transform | Inproceedings Konferenzbeitrag | 9-Apr-2025 |
| 23 | | Bringmann, Philipp ; Feischl, Michael ; Miraci, Ani ; Praetorius, Dirk ; Streitberger, Julian | On full linear convergence and optimal complexity of adaptive FEM with inexact solver | Article Artikel | 15-Feb-2025 |
| 24 | | Alde, Michele ; Feischl, Michael ; Praetorius, Dirk | BDF2-type integrator for Landau-Lifshitz-Gilbert equation in micromagnetics | Presentation Vortrag | 30-Jan-2025 |
| 25 | | Feischl, Michael ; Zehetgruber, Fabian Kleon | Computational Math with Neural Networks is Hard | Article Artikel | 2025 |
| 26 | | Zehetgruber, Fabian Kleon | Iterative Construction of Neural Networks | Presentation Vortrag | 9-Dec-2024 |
| 27 | | Scaglioni, Andrea ; An, Xin ; Dick, Josef ; Feischl, Michael ; Tran, Thanh ; Scaglioni, Andrea | Sparse grid approximation of the stochastic Landau-Lifshitz-Gilbert equation | Presentation Vortrag | 11-Sep-2024 |
| 28 | | Bringmann, Philipp ; Feischl, Michael ; Miraci, Ani ; Praetorius, Dirk ; Streitberger, Julian | On full linear convergence and optimal complexity of adaptive FEM with inexact solver | Inproceedings Konferenzbeitrag | 10-Sep-2024 |
| 29 | | Feischl, Michael | Stochastic collocation for dynamic micromagnetism | Inproceedings Konferenzbeitrag | 19-Aug-2024 |
| 30 | | Feischl, Michael | Numerics of the stochastic Landau-Lifshitz-Gilbert equation | Inproceedings Konferenzbeitrag | 19-Jul-2024 |
| 31 | | Feischl, Michael ; Gerencser, Mate | Adaptive approximation of nonlinear stochastic processes | Inproceedings Konferenzbeitrag | 10-Jun-2024 |
| 32 | | Feischl, Michael | Adaptive mesh refinement | Inproceedings Konferenzbeitrag | 17-May-2024 |
| 33 | | Zehetgruber, Fabian Kleon | An implicit function theorem for neural networks | Inproceedings Konferenzbeitrag | 17-May-2024 |
| 34 | | Scaglioni, Andrea ; An, Xin ; Dick, Josef ; Feischl, Michael ; Tran, Thanh | Sparse grid approximation of stochastic dynamic micromagnetics | Presentation Vortrag | 16-May-2024 |
| 35 | | Feischl, Michael | Optimality of adaptive discretizations | Presentation Vortrag | 5-Apr-2024 |
| 36 | | Scaglioni, Andrea ; An, Xin ; Dick, Josef ; Feischl, Michael ; Tran, Thanh | Sparse grid approximation of nonlinear SPDEs: The Landau–Lifshitz–Gilbert problem | Presentation Vortrag | 21-Mar-2024 |
| 37 | | Feischl, Michael ; Huber, Amanda | Optimal convergence of adaptive time stepping for Stokes equations | Presentation Vortrag | 18-Mar-2024 |
| 38 | | Feischl, Michael | Stochastic collocation for dynamic micromagnetism | Presentation Vortrag | 4-Mar-2024 |
| 39 | | Scaglioni, Andrea ; An, Xin ; Dick, Josef ; Feischl, Michael ; Tran, Thanh | Sparse grid approximation of stochastic dynamic micromagnetics | Presentation Vortrag | 27-Feb-2024 |
| 40 | | Feischl, Michael ; Hackl, Hubert | Optimal mesh coarsening with constraints | Presentation Vortrag | 18-Jan-2024 |
| 41 |  | Feischl, Michael ; Hackl, Hubert | Adaptive image compression via optimal mesh refinement | Article Artikel | 2024 |
| 42 | | Feischl, Michael | Adaptive approximation of stochastic processes | Presentation Vortrag | 15-Nov-2023 |
| 43 | | Feischl, Michael ; Scaglioni, Andrea | Stochastic collocation for dynamic micromagnetism | Presentation Vortrag | 19-Sep-2023 |
| 44 | | Feischl, Michael | High-dimensional and adaptive approximation of micromagnetics | Presentation Vortrag | 5-Sep-2023 |
| 45 | | Feischl, Michael | Inf-sup stability implies quasi-orthogonality | Article Artikel | Sep-2022 |
| 46 | | Doppler, Christian ; Feischl, Michael ; Ganhör, Clara ; Puh, Spela ; Müller, Marina ; Kotnik, Michaela ; Mimler, Teresa ; Sonnleitner, Max ; Bernhard, David ; Wechselberger, Christian | Low-entry-barrier point-of-care testing of anti-SARS-CoV-2 IgG in the population of Upper Austria from December 2020 until April 2021—a feasible surveillance strategy for post-pandemic monitoring? | Article Artikel | Apr-2022 |
| 47 | | Akrivis, Georgios ; Feischl, Michael ; Kovács, Balázs ; Lubich, Christian | HIGHER-ORDER LINEARLY IMPLICIT FULL DISCRETIZATION OF THE LANDAU–LIFSHITZ–GILBERT EQUATION | Article Artikel | May-2021 |
