130 citations · 327 across the 10 of their papers we have counts for
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cs.LG2021★ 3 cited
A brief note on understanding neural networks as Gaussian processes
Mengwu Guo
As a generalization of the work in [Lee et al., 2017], this note briefly discusses when the prior of a neural network output follows a Gaussian process, and how a neural-network-in…
math.NA2021★ 130 cited
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities
Mengwu Guo, Andrea Manzoni, Maurice Amendt +2
Highly accurate numerical or physical experiments are often time-consuming or expensive to obtain. When time or budget restrictions prohibit the generation of additional data, the…