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Keyi Wu
Keyi Wu
Verified email at math.utexas.edu
Title
Cited by
Cited by
Year
Projected Stein variational Newton: A fast and scalable Bayesian inference method in high dimensions
P Chen, K Wu, J Chen, T O'Leary-Roseberry, O Ghattas
Advances in Neural Information Processing Systems 32, 2019
612019
A fast and scalable computational framework for large-scale high-dimensional Bayesian optimal experimental design
K Wu, P Chen, O Ghattas
SIAM/ASA Journal on Uncertainty Quantification 11 (1), 235-261, 2023
392023
Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities
P Chen, K Wu, O Ghattas
Computer Methods in Applied Mechanics and Engineering 385, 114020, 2021
192021
Large-scale Bayesian optimal experimental design with derivative-informed projected neural network
K Wu, T O’Leary-Roseberry, P Chen, O Ghattas
Journal of Scientific Computing 95 (1), 30, 2023
142023
A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification
K Wu, J Li
Journal of Computational Physics 321, 1098-1109, 2016
132016
An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemen
K Wu, P Chen, O Ghattas
arXiv preprint arXiv:2102.06627, 2021
82021
An offline-online decomposition method for efficient linear Bayesian goal-oriented optimal experimental design: Application to optimal sensor placement
K Wu, P Chen, O Ghattas
SIAM Journal on Scientific Computing 45 (1), B57-B77, 2023
52023
Derivative-informed projected neural network for large-scale Bayesian optimal experimental design
K Wu, T O’Leary-Roseberry, P Chen, O Ghattas
arXiv preprint arXiv:2201.07925, 342, 2022
52022
A fast and scalable computational framework for goal-oriented linear bayesian optimal experimental design: application to optimal sensor placement
K Wu, P Chen, O Ghattas
arXiv preprint arXiv:2102.066271, 2021
42021
Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data
L Cao, K Wu, JT Oden, P Chen, O Ghattas
arXiv preprint arXiv:2306.05398, 2023
22023
Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogate
L Cao, K Wu, JT Oden, P Chen, O Ghattas
Computer Methods in Applied Mechanics and Engineering 417, 116349, 2023
12023
Optimal experimental design for large-scale Bayesian inverse problems
K Wu
2022
Transport-Based Variational Bayesian Methods for Learning from Data
D Bigoni, J Chen, P Chen, O Ghattas, Y Marzouk, T O’Leary–Roseberry, ...
dimensions 3, 4, 0
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