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Benjamin Peherstorfer

Parametric model reduction of mean-field and stochastic systems via higher-order action matching

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Oct 15, 2024
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System stabilization with policy optimization on unstable latent manifolds

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Jul 08, 2024
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Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations

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Apr 01, 2024
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CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations

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Feb 22, 2024
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Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes

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Oct 11, 2023
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Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks

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Oct 07, 2023
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Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices

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Jul 25, 2023
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Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes

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Jun 27, 2023
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Rank-Minimizing and Structured Model Inference

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Feb 19, 2023
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Multi-fidelity covariance estimation in the log-Euclidean geometry

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Jan 31, 2023
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