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20152023
most citedConvolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

7.1k citations · 8.6k across the 13 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022★ 23 cited

First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting

Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy +6

Transformer-based models have gained large popularity and demonstrated promising results in long-term time-series forecasting in recent years. In addition to learning attention in…

cs.LG2022★ 104 cited

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

Zhihan Gao, Xingjian Shi, Hao Wang +4

Conventionally, Earth system (e.g., weather and climate) forecasting relies on numerical simulation with complex physical models and are hence both expensive in computation and dem…