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Two-Stage Surrogate Modeling for Data-Driven Design Optimization with
  Application to Composite Microstructure Generation

Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation

4 January 2024
Farhad Pourkamali-Anaraki
Jamal F. Husseini
E. Pineda
B. Bednarcyk
Scott E. Stapleton
    AI4CE
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Papers citing "Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation"

2 / 2 papers shown
Title
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions
Farhad Pourkamali-Anaraki
OOD
UQCV
46
0
0
16 Mar 2025
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
77
268
0
13 Jul 2021
1