Multi-Resolution Sequence Aggregation and Model-Agnostic Framework for Time-Series Forecasting
Author:
Affiliation:
1. LG AI Research,South Korea
2. Seoul National University,Department of Electrical and Computer Engineering and INMC,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096456.pdf?arnumber=10096456
Reference24 articles.
1. Scinet: Time series modeling and forecasting with sample convolution and interaction;liu;Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022,2022
2. Freeway Performance Measurement System: Mining Loop Detector Data
3. ScaleNet-multiscale neural-network architecture for time series prediction
4. Perceiver: General perception with iterative attention;jaegle;International Conference on Machine Learning,2021
5. A multiscale interactive recurrent network for time-series forecasting;chen;IEEE Transactions on Cybernetics,2021
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