Seyede Fatemeh Ghoreishi
Seyede Fatemeh Ghoreishi
Postdoctoral Research Fellow at University of Maryland
Verified email at - Homepage
Cited by
Cited by
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
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
Adaptive uncertainty propagation for coupled multidisciplinary systems
SF Ghoreishi, DL Allaire
AIAA journal 55 (11), 3940-3950, 2017
Multi-Information Source Constrained Bayesian Optimization
SF Ghoreishi, D Allaire
Structural and Multidisciplinary Optimization, 2018
Bayesian Optimization Objective-Based Experimental Design
M Imani, SF Ghoreishi
American Control Conference (ACC), 2020
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
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
Compositional uncertainty analysis via importance weighted gibbs sampling for coupled multidisciplinary systems
SF Ghoreishi, DL Allaire
18th AIAA non-deterministic approaches conference, 1443, 2016
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
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), 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
Uncertainty analysis for coupled multidisciplinary systems using sequential importance resampling
SF Ghoreishi
Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems
SF Ghoreishi, M Imani
American Control Conference (ACC), 2020
Gaussian Process Regression for Bayesian Fusion of Multi-Fidelity Information Sources
SF Ghoreishi, D Allaire
19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2018
Scalable Inverse Reinforcement Learning Through Multi-Fidelity Bayesian Optimization
M Imani, SF Ghoreishi
IEEE Transactions on Neural Networks and Learning Systems, 2021
Adaptive Dimensionality Reduction for Fast Sequential Optimization with Gaussian Processes
SF Ghoreishi, S Friedman, D Allaire
Journal of Mechanical Design, 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
Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks
M Imani, SF Ghoreishi
IEEE Intelligent Systems 36 (1), 54-63, 2021
Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data
SF Ghoreishi, M Imani
53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Efficient use of multiple information sources in material design
SF Ghoreishi, A Molkeri, R Arroyave, D Allaire, A Srivastava
Acta Materialia, 2019
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