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07/19/2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Earth system forecasting has traditionally relied on complex physical mo...
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02/04/2023
Cross-Frequency Time Series Meta-Forecasting
Meta-forecasting is a newly emerging field which combines meta-learning ...
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12/15/2022
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Transformer-based models have gained large popularity and demonstrated p...
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02/13/2021
Attention-based Domain Adaptation for Time Series Forecasting
Recent years have witnessed deep neural networks gaining increasing popu...
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10/25/2020
Inter-Series Attention Model for COVID-19 Forecasting
COVID-19 pandemic has an unprecedented impact all over the world since e...
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02/14/2020
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing
Computation-intensive pretrained models have been taking the lead of man...
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10/21/2019
You May Not Need Order in Time Series Forecasting
Time series forecasting with limited data is a challenging yet critical ...
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06/29/2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Time series forecasting is an important problem across many domains, inc...
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04/26/2019
