20 citations · 73 across the 12 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 6 cited
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting
Qingyi Pan, Wenbo Hu, Jun Zhu
Time series forecasting is an important yet challenging task. Though deep learning methods have recently been developed to give superior forecasting results, it is crucial to impro…
stat.ME2020★ 5 cited
Dynamic Window-level Granger Causality of Multi-channel Time Series
Zhiheng Zhang, Wenbo Hu, Tian Tian +1
Granger causality method analyzes the time series causalities without building a complex causality graph. However, the traditional Granger causality method assumes that the causali…
cs.LG2020★ 20 cited
Calibrated Reliable Regression using Maximum Mean Discrepancy
Peng Cui, Wenbo Hu, Jun Zhu
Accurate quantification of uncertainty is crucial for real-world applications of machine learning. However, modern deep neural networks still produce unreliable predictive uncertai…