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Sungahn Ko

TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts

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Mar 05, 2024
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TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting

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Oct 26, 2022
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A Visual Analytics System for Improving Attention-based Traffic Forecasting Models

Aug 11, 2022
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Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting

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Oct 20, 2021
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An Empirical Experiment on Deep Learning Models for Predicting Traffic Data

May 12, 2021
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STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting

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Nov 29, 2019
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