181 citations · 1.1k across the 18 of their papers we have counts for
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cs.LG2023★ 1 cited
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting
Linfeng Du, Ji Xin, Alex Labach +3
Transformer-based models have greatly pushed the boundaries of time series forecasting recently. Existing methods typically encode time series data into using on…
cs.LG2023★ 1 cited
DuETT: Dual Event Time Transformer for Electronic Health Records
Alex Labach, Aslesha Pokhrel, Xiao Shi Huang +5
Electronic health records (EHRs) recorded in hospital settings typically contain a wide range of numeric time series data that is characterized by high sparsity and irregular obser…
cs.LG2021★ 7 cited
Temporal Dependencies in Feature Importance for Time Series Predictions
Kin Kwan Leung, Clayton Rooke, Jonathan Smith +2
Time series data introduces two key challenges for explainability methods: firstly, observations of the same feature over subsequent time steps are not independent, and secondly, t…