An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification

Documenti analoghi

• Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing
  di: Chiappetta, Mihaela, et al.
  Pubblicazione: (2023)
• Data‐informed uncertainty quantification for laser‐based powder bed fusion additive manufacturing
  di: Mihaela Chiappetta, et al.
  Pubblicazione: (2024)
• Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes
  di: Kachabi, Amirreza, et al.
  Pubblicazione: (2025)
• Sensor Informativeness, Identifiability, and Uncertainty in Bayesian Inverse Problems for Structural Health Monitoring
  di: Bakeer, Tammam, et al.
  Pubblicazione: (2025)
• Partitioned Surrogates and Thompson Sampling for Multidisciplinary Bayesian Optimization
  di: Baars, Susanna, et al.
  Pubblicazione: (2024)