Adaptive Model Hierarchies for Multi-Query Scenarios

Kleikamp, Hendrik; Ohlberger, Mario (2025)

In: Körner, Andreas; Kugi, Andreas; Kemmetmüller, Wolfgang; Deutschmann-Olek, Andreas; Steinböck, Andreas; Hartl-Nesic, Christian; Jadachowski, Lukasz Piotr (eds.), MATHMOD 2025 - Discussion Contribution Volume. Wien: .

Research article in edited proceedings (conference)

Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling

Wenzel, Tizian; Haasdonk, Bernard; Kleikamp, Hendrik; Ohlberger, Mario; Schindler, Felix (2024)

In: Lirkov, I.; Margenov, S. (eds.), Large-Scale Scientific Computations. Cham: .

Research article in edited proceedings (conference)

A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs

Haasdonk B, Kleikamp H, Ohlberger M, Schindler F, Wenzel T (2023)

In: SIAM Journal on Scientific Computing, 45(3).

Research article (journal)

Nonlinear Model Order Reduction using Diffeomorphic Transformations of a Space-Time Domain

Kleikamp Hendrik, Ohlberger Mario, Rave Stephan (2022)

In: Breitenecker, Felix; Kemmetmüller, Wolfgang; Körner, Andreas; Kugi, Andreas; Troch, Inge (eds.), MATHMOD 2022 - Discussion Contribution Volume. Wien: .

Research article in edited proceedings (conference)

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Adaptive Model Hierarchies for Multi-Query Scenarios Kleikamp, Hendrik; Ohlberger, Mario (2025) In: Körner, Andreas; Kugi, Andreas; Kemmetmüller, Wolfgang; Deutschmann-Olek, Andreas; Steinböck, Andreas; Hartl-Nesic, Christian; Jadachowski, Lukasz Piotr (eds.), MATHMOD 2025 - Discussion Contribution Volume. Wien: . Research article in edited proceedings (conference)
Two-stage model reduction approaches for the efficient and certified solution of parametrized optimal control problems Kleikamp, Hendrik; Renelt, Lukas (2025) In: Journal of Scientific Computing, 104(78). Research article (journal)
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling Wenzel, Tizian; Haasdonk, Bernard; Kleikamp, Hendrik; Ohlberger, Mario; Schindler, Felix (2024) In: Lirkov, I.; Margenov, S. (eds.), Large-Scale Scientific Computations. Cham: . Research article in edited proceedings (conference)
Model Reduction and Learning for PDE Constrained Optimization Ohlberger, M.; Banholzer, S.; Haasdonk, B.; Keil, T., Kleikamp, H.; Mechelli, L.; Oguntola, M;, Schindler,F.; Volkwein, S.; Wenzel, T. (2023) In: Oberwolfach Reports, 13/2023. Abstract in journal (conference)
A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs Haasdonk B, Kleikamp H, Ohlberger M, Schindler F, Wenzel T (2023) In: SIAM Journal on Scientific Computing, 45(3). Research article (journal)
Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery Keil T, Kleikamp H, Lorentzen R, Oguntola M, Ohlberger M (2022) In: Advances in Computational Mathematics, 2022(48), 73. Research article (journal)
Nonlinear Model Order Reduction using Diffeomorphic Transformations of a Space-Time Domain Kleikamp Hendrik, Ohlberger Mario, Rave Stephan (2022) In: Breitenecker, Felix; Kemmetmüller, Wolfgang; Körner, Andreas; Kugi, Andreas; Troch, Inge (eds.), MATHMOD 2022 - Discussion Contribution Volume. Wien: . Research article in edited proceedings (conference)