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Peter Benner

Data-Augmented Predictive Deep Neural Network: Enhancing the extrapolation capabilities of non-intrusive surrogate models

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Oct 17, 2024
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Structure-preserving learning for multi-symplectic PDEs

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Sep 16, 2024
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Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction

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Sep 05, 2024
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Divergence-free neural operators for stress field modeling in polycrystalline materials

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Aug 27, 2024
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GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations

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May 14, 2024
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Stability-Certified Learning of Control Systems with Quadratic Nonlinearities

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Mar 01, 2024
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Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference

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Feb 27, 2024
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A Robust SINDy Approach by Combining Neural Networks and an Integral Form

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Sep 13, 2023
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Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics

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Aug 26, 2023
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Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference

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Aug 26, 2023
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