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Modeling the System Acquisition Using Deep Reinforcement Learning., , and . IEEE Access, (2020)Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty., , , , and . CoRR, (2020)Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design., , , and . CoRR, (2019)A Bayesian Hierarchical Model for Extracting Individuals' Theory-Based Causal Knowledge., , , and . J. Comput. Inf. Sci. Eng., (June 2023)Multidimensional Adaptive Relevance Vector Machines for Uncertainty Quantification., and . SIAM J. Sci. Comput., (2012)Deriving Information Acquisition Criteria For Sequentially Inferring The Expected Value Of A Black-Box Function., , and . CoRR, (2018)Automated Building Image Extraction from 360-degree Panoramas for Post-Disaster Evaluation., , , and . CoRR, (2019)Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification., , , and . J. Comput. Phys., (2013)Automated Detection of Pre-Disaster Building Images from Google Street View., , , and . CoRR, (2019)Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields., , , , and . CoRR, (2023)