基于LSTM的时空序列预测任务文章总结

基于LSTM 时空序列预测任务文章部分总结

时空序列预测任务已经在交通流量，雷达回波，人体行为预测等方面有了重要作用，本博客主要针对当前所有的时空序列预测任务进行总结。下面当前收集到的所有论文的链接地址和名字，主要作为新手入行使用，避免浪费很多的时间来查找文献。下面附上论文名称和地址，以及每篇论文的中文简介。

1. *Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.*论文下载
2. *Deep Learning for Precipitation Nowcasting:A Benchmark and A New Model.*论文下载
3. *PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs.*论文下载
4. *PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning.*论文下载
5. *Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics.*论文下载
6. *PredCNN: Predictive Learning with Cascade Convolutions.*论文下载
7. Deep Learning Prediction of Incoming Rainfalls:An Operational Service for the City of Beijing China.
8. *Cubic LSTMs for Video Prediction.*论文下载
9. *Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction.*论文下载
10. *HPRNN: A HIERARCHICAL SEQUENCE PREDICTION MODEL FOR LONG-TERM WEATHER RADAR ECHO EXTRAPOLATION .*论文下载
11. *Video Pixel Networks.*论文下载
12. *PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting.*论文下载
13. *MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions.*论文下载
14. *EIDETIC 3D LSTM:A MODEL FOR VIDEO PREDICTION AND BEYOND.*论文下载
15. *Convolutional Tensor-Train LSTM for Spatio-Temporal Learning.*论文下载
16. An Energy-Based Generative Adversarial Forecaster for Radar Echo Map Extrapolation.
17. *Self-Attention ConvLSTM for Spatiotemporal Prediction.*论文下载

目前所搜集到的关于时空序列的文章大致只有这些，希望能帮助到初入领域的人，也为自己整理一下。