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20202022
most citedDeep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems

4 citations · 7 across the 6 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

stat.ML2020

Modulating Scalable Gaussian Processes for Expressive Statistical Learning

Haitao Liu, Yew-Soon Ong, Xiaomo Jiang +1

For a learning task, Gaussian process (GP) is interested in learning the statistical relationship between inputs and outputs, since it offers not only the prediction mean but also…

stat.ML2020★ 1 cited

Deep Latent-Variable Kernel Learning

Haitao Liu, Yew-Soon Ong, Xiaomo Jiang +1

Deep kernel learning (DKL) leverages the connection between Gaussian process (GP) and neural networks (NN) to build an end-to-end, hybrid model. It combines the capability of NN to…