Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments M Imani, SF Ghoreishi, U Braga-Neto Advances in Neural Information Processing Systems (NIPS), 2018 | 78 | 2018 |
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models M Imani, SF Ghoreishi, D Allaire, U Braga-Neto Association for the Advancement of Artificial Intelligence (AAAI), 2019 | 77 | 2019 |
Multi-Information Source Constrained Bayesian Optimization SF Ghoreishi, D Allaire Structural and Multidisciplinary Optimization, 2019 | 67 | 2019 |
Scalable Inverse Reinforcement Learning Through Multi-Fidelity Bayesian Optimization M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems, 2022 | 61 | 2022 |
Bayesian uncertainty quantification and information fusion in CALPHAD-based thermodynamic modeling P Honarmandi, TC Duong, SF Ghoreishi, D Allaire, R Arroyave Acta Materialia 164, 636-647, 2019 | 60 | 2019 |
Bayesian Uncertainty Quantification and Information Fusion in CALPHAD-based Thermodynamic Modeling P Honarmandi, TC Duong, SF Ghoreishi, D Allaire, R Arroyave arXiv preprint arXiv:1806.05769, 2018 | 60 | 2018 |
Bayesian Optimization Objective-Based Experimental Design M Imani, SF Ghoreishi American Control Conference (ACC), 2020 | 58 | 2020 |
Adaptive uncertainty propagation for coupled multidisciplinary systems SF Ghoreishi, DL Allaire AIAA journal 55 (11), 3940-3950, 2017 | 49 | 2017 |
Multi-information source fusion and optimization to realize ICME: Application to dual-phase materials SF Ghoreishi, A Molkeri, A Srivastava, R Arroyave, D Allaire Journal of Mechanical Design 140 (11), 111409, 2018 | 44 | 2018 |
A fusion-based multi-information source optimization approach using knowledge gradient policies SF Ghoreishi, DL Allaire 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018 | 35 | 2018 |
Adaptive Dimensionality Reduction for Fast Sequential Optimization with Gaussian Processes SF Ghoreishi, S Friedman, D Allaire Journal of Mechanical Design, 2019 | 31 | 2019 |
Efficient use of multiple information sources in material design SF Ghoreishi, A Molkeri, R Arroyave, D Allaire, A Srivastava Acta Materialia, 2019 | 27 | 2019 |
Experiment design frameworks for accelerated discovery of targeted materials across scales A Talapatra, S Boluki, P Honarmandi, A Solomou, G Zhao, SF Ghoreishi, ... Frontiers in Materials 6, 82, 2019 | 27 | 2019 |
Quantifying the impact of different model discrepancy formulations in coupled multidisciplinary systems S Friedman, SF Ghoreishi, DL Allaire 19th AIAA non-deterministic approaches conference, 1950, 2017 | 27 | 2017 |
Compositional uncertainty analysis via importance weighted gibbs sampling for coupled multidisciplinary systems SF Ghoreishi, DL Allaire 18th AIAA non-deterministic approaches conference, 1443, 2016 | 26 | 2016 |
Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems SF Ghoreishi, M Imani American Control Conference (ACC), 2020 | 25 | 2020 |
Graph-based bayesian optimization for large-scale objective-based experimental design M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems, 2021 | 24 | 2021 |
Two-Stage Bayesian Optimization for Scalable Inference in State Space Models M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems, 2021 | 24 | 2021 |
Gaussian Process Regression for Bayesian Fusion of Multi-Fidelity Information Sources SF Ghoreishi, D Allaire 19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2018 | 18 | 2018 |
Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks M Imani, SF Ghoreishi IEEE Intelligent Systems 36 (1), 54-63, 2020 | 16 | 2020 |