Fusing information from multifidelity computer models of physical systems. - Douglas L. Allaire; Karen Willcox (FUSION, 2012)

Dynamic Data Driven Methods for Self-aware Aerospace Vehicles. - Douglas L. Allaire; George Biros; J. Chambers; Omar Ghattas; D. Kordonowy; Karen Willcox (ICCS, 2012)

A variance-based sensitivity index function for factor prioritization. - Douglas L. Allaire; Karen Willcox (Reliab. Eng. Syst. Saf., 2012)

An Offline/Online DDDAS Capability for Self-Aware Aerospace Vehicles. - Douglas L. Allaire; J. Chambers; Raghvendra V. Cowlagi; David N. Kordonowy; M. Lecerf; Laura Mainini; F. Ulker; Karen Willcox (ICCS, 2013)

Multifidelity DDDAS Methods with Application to a Self-aware Aerospace Vehicle. - Douglas L. Allaire; D. Kordonowy; M. Lecerf; Laura Mainini; Karen Willcox (ICCS, 2014)

Uncertainty quantification of an Aviation Environmental Toolsuite. - Douglas L. Allaire; George Noel; Karen Willcox; Rebecca Cointin (Reliab. Eng. Syst. Saf., 2014)

A decomposition-based uncertainty quantification approach for environmental impacts of aviation technology and operation. - Sergio Amaral; Douglas L. Allaire; Elena De La Rosa Blanco; Karen Willcox (Artif. Intell. Eng. Des. Anal. Manuf., 2017)

Multitask Aircraft Capability Estimation Using Conjunctive Filters. - Brian J. Burrows; Benson Isaac; Douglas L. Allaire (J. Aerosp. Inf. Syst., 2017)

Optimal L2-norm empirical importance weights for the change of probability measure. - Sergio Amaral; Douglas L. Allaire; Karen Willcox (Stat. Comput., 2017)

Sensitivity analysis methods for mitigating uncertainty in engineering system design. - Qinxian Chelsea Curran; Douglas L. Allaire; Karen E. Willcox (Syst. Eng., 2018)

MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. - Mahdi Imani; Seyede Fatemeh Ghoreishi; Douglas L. Allaire; Ulisses M. Braga-Neto (AAAI, 2019)

A Machine Learning Approach to Aircraft Sensor Error Detection and Correction. - Renee Swischuk; Douglas L. Allaire (J. Comput. Inf. Sci. Eng., 2019)

Sequential Information-Theoretic and Reification-Based Approach for Querying Multi-Information Sources. - Seyede Fatemeh Ghoreishi; W. D. Thomison; Douglas L. Allaire (J. Aerosp. Inf. Syst., 2019)

Taking the Guess Work Out of the Initial Guess: A Solution Interval Method for Least-Squares Parameter Estimation in Nonlinear Models. - Guanglu Zhang; Douglas L. Allaire; Jonathan Cagan (J. Comput. Inf. Sci. Eng., 2021)

Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples. - Danial Khatamsaz; Vahid Attari; Raymundo Arróyave; Douglas L. Allaire (CoRR, 2023)

Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models. - Guanglu Zhang; Douglas L. Allaire; Jonathan Cagan (J. Comput. Inf. Sci. Eng., 2023)

Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development. - Danial Khatamsaz; Joseph Wagner; Brent Vela; Raymundo Arróyave; Douglas L. Allaire (CoRR, 2025)

Accurate and Uncertainty-Aware Multi-Task Prediction of HEA Properties Using Prior-Guided Deep Gaussian Processes. - Sk Md Ahnaf Akif Alvi; Mrinalini Mulukutla; Nicolas Flores; Danial Khatamsaz; Jan Janssen; Danny Perez; Douglas L. Allaire; Vahid Attari; Raymundo Arróyave (CoRR, 2025)