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Disambiguation of "Peherstorfer, Benjamin"

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Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems.

, , , and . CoRR, (2020)

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Benjamin Peherstorfer

Franz Peherstorfer

Benjamin Bender

Cerebrospinal fluid and interstitial fluid volume measurement in the human brain at 3T with EPI. Uni Tübingen, (2009)

Benjamin Köckemann

Abundance, niche breadth and stress in the centre and at the border of the distribution range: a macroecological study on abundant and rare tree specie. Uni Göttingen, (2008)

Benjamin Braatz

Formal modelling and application of graph transformations in the resource description framework. TU Berlin, (2009)
 

Other publications of authors with the same name

Multifidelity Monte Carlo Estimation with Adaptive Low-Fidelity Models.. SIAM/ASA J. Uncertain. Quantification, 7 (2): 579-603 (2019)Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations., and . CoRR, (2020)Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems., , , and . CoRR, (2020)Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems., and . SIAM/ASA J. Uncertain. Quantification, 11 (1): 285-319 (March 2023)Neural Galerkin Scheme with Active Learning for High-Dimensional Evolution Equations., , and . CoRR, (2022)A transport-based multifidelity preconditioner for Markov chain Monte Carlo., and . Adv. Comput. Math., 45 (5): 2321-2348 (2019)Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation., , , and . ACC, page 2472-2477. IEEE, (2020)Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems., , , and . CoRR, (2019)Operator inference with roll outs for learning reduced models from scarce and low-quality data., , and . Comput. Math. Appl., (September 2023)Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes., , and . CoRR, (2023)