Pages that link to "Item:Q2693418"
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The following pages link to Multi-fidelity cost-aware Bayesian optimization (Q2693418):
Displaying 12 items.
- Combining Bayesian optimization and Lipschitz optimization (Q2303661) (← links)
- Bayesian Optimization for Cascade-Type Multistage Processes (Q5054925) (← links)
- (Q5493582) (← links)
- Probabilistic neural data fusion for learning from an arbitrary number of multi-fidelity data sets (Q6096443) (← links)
- A novel sampling method for adaptive gradient-enhanced kriging (Q6118505) (← links)
- An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models (Q6164276) (← links)
- A latent variable approach for non-hierarchical multi-fidelity adaptive sampling (Q6202955) (← links)
- Efficient constitutive parameter identification through optimisation-based techniques: a comparative analysis and novel composite Bayesian optimisation strategy (Q6557802) (← links)
- Data-driven physics-constrained recurrent neural networks for multiscale damage modeling of metallic alloys with process-induced porosity (Q6584871) (← links)
- Heteroscedastic Gaussian process regression for material structure-property relationship modeling (Q6609835) (← links)
- A composite Bayesian optimisation framework for material and structural design (Q6669038) (← links)
- Operator learning with Gaussian processes (Q6669069) (← links)
