Daniel (Zhengyu) Huang
Publications
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Huang, D.Z., Schneider, T., Stuart, A.M., 2022: Iterated Kalman methodology for inverse problems. Journal of Computational Physics, 463, 111262.
[PDF] [Official Version] -
de Hoop, M.V., Huang, D.Z., Qian, E., Stuart, A.M., 2022: The cost-accuracy trade-off in operator learning with neural networks. Journal of Machine Learning, 1, 299-341.
[PDF] [Online version] -
Huang, D.Z., Huang, J., Reich, S., Stuart, A.M., 2022: Efficient derivative-free Bayesian inference for large-scale inverse problems. Inverse Problems, 38, 125006.
[PDF] [Official version] -
Dunbar, O.R.A., Lopez-Gomez, I., Garbuno-Iñigo, A., Huang, D.Z., Bach, E., Wu, J., 2022: EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration. Journal of Open Source Software, 7, 4869.
[PDF] [Official Version]