Benjamin Peherstorfer
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Courant Institute School of Mathematics, Computing, and Data Scienceas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-1558-6775
- OpenAlex ID
- A5027402421as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 17
Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems,
Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes,
Data-driven operator inference for nonintrusive projection-based model reduction,
Data-Driven Reduced Model Construction with Time-Domain Loewner Models,
Detecting and Adapting to Parameter Changes for Reduced Models of Dynamic Data-driven Application Systems,
Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models,
Geometric Subspace Updates with Applications to Online Adaptive Nonlinear Model Reduction,
Learning Nonlinear Reduced Models from Data with Operator Inference
+9 more
← Authored by 17
Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems,
Coupling parameter and particle dynamics for adaptive sampling in Neural Galerkin schemes,
Data-driven operator inference for nonintrusive projection-based model reduction,
Data-Driven Reduced Model Construction with Time-Domain Loewner Models,
Detecting and Adapting to Parameter Changes for Reduced Models of Dynamic Data-driven Application Systems,
Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models,
Geometric Subspace Updates with Applications to Online Adaptive Nonlinear Model Reduction,
Learning Nonlinear Reduced Models from Data with Operator Inference
+9 more
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Summary
Benjamin Peherstorfer is a human[1].