Comments (2)
Hi, sorry for the late reply.
Yes, it's working correctly.
Our code is not fast at test time. To accelerate the speed, You can combine CSDI with methods which speed up diffusion models.
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Hi, Tashiro,
Thanks for your reply. We have already finished the comparison experiment and report as it was described in the paper.
Wenbo
tldr: our recent work is deep ensembles method combined with quantile regression. it is faster than the generative models, such as the diffusion models.
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series.
Ying Liu+, Peng Cui+, Wenbo Hu, Richang Hong
https://arxiv.org/abs/2312.01294
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Related Issues (12)
- No “featureemb” in Config.json HOT 1
- Reproduction experiments HOT 2
- The google drive link is broken HOT 1
- error in forecasting code. HOT 6
- Hi HOT 1
- DEformer-like model achieves 0.216 MAE on 10% missing healthcare dataset HOT 2
- Implementation of CSDI for time series forecasting HOT 4
- The question of CRPS metric HOT 1
- Time series Forecasting example with test pattern strategy HOT 2
- difference between deterministic imputation and interpolation HOT 1
- square root for the second coefficient HOT 1
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