Publications of Peter Benner
All genres
Preprint (39)
761.
Preprint
Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)
762.
Preprint
Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)
763.
Preprint
Data-Augmented Predictive Deep Neural Network: Enhancing the Extrapolation Capabilities of Non-Intrusive Surrogate Models. (2024)
764.
Preprint
Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction. (2024)
765.
Preprint
Divergence-free Neural Operators for Stress Field Modeling in Polycrystalline Materials. (2024)
766.
Preprint
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations. (2024)
767.
Preprint
GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations. (2024)
768.
Preprint
MaRDIFlow: A CSE Workflow Framework for Abstracting Meta-Data from FAIR Computational Experiments. (2024)
769.
Preprint
Balanced Truncation of Descriptor Systems with a Quadratic Output. (2024)
770.
Preprint
Numerical Methods for Closed-Loop Systems with Non-Autonomous Data. (2024)
771.
Preprint
Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. (2024)
772.
Preprint
Training of Artificial Neural Networks with Reduced-Order Models for the Prediction of Thermal Errors on Machine Tools. Research Square (2024)
773.
Preprint
Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. (2023)
774.
Preprint
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)
775.
Preprint
Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)
776.
Preprint
A Weighted Subspace Exponential Kernel for Support Tensor Machines. (2023)
777.
Preprint
Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)
778.
Preprint
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)
779.
Preprint
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
780.
Preprint
Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)