163 citations · 404 across the 29 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017
Long-term Forecasting using Higher Order Tensor RNNs
Rose Yu, Stephan Zheng, Anima Anandkumar +1
We present Higher-Order Tensor RNN (HOT-RNN), a novel family of neural sequence architectures for multivariate forecasting in environments with nonlinear dynamics. Long-term foreca…
cs.LG2017★ 21 cited
Tensor Regression Meets Gaussian Processes
Rose Yu, Guangyu Li, Yan Liu
Low-rank tensor regression, a new model class that learns high-order correlation from data, has recently received considerable attention. At the same time, Gaussian processes (GP)…
cs.LG2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li, Rose Yu, Cyrus Shahabi +1
Spatiotemporal forecasting has various applications in neuroscience, climate and transportation domain. Traffic forecasting is one canonical example of such learning task. The task…