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[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

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Hi, so I trained the interpolator network on the spring mesh database and killed the run after a few epochs. This saved the last.ckpt file locally in the results/checkpoints directory...

OISST dataset: DDPM test results for SST: test/50ens_mems/avg/mse=1211.059 test/50ens_mems/avg/crps=24.399 test/50ens_mems/avg/ssr=2.479 The results of the two repeated experiments are almost the same But for Dyffusion and MCVD, I can reproduce the...

The paper and the code are both very well done and have been very helpful for my research. I particularly appreciated the detailed explanations and the thoroughness of the experiments....

Hello! I've recently been testing Dyffusion model using the Oisst dataset. I used the following code to train the interpolation: `python run.py experiment=oisst_pacific_interpolation work_dir=./myrun/interpolation_oisst trainer.max_epochs=5 datamodule.horizon=7 datamodule.window=4 datamodule.prediction_horizon=7` Then, I...

Hi. When I runing: `python run.py experiment=oisst_pacific_interpolation` It occured: ``` Error executing job with overrides: ['experiment=oisst_pacific_interpolation'] Traceback (most recent call last): File "/mpathc/wpeng/codes/python_github_2/dyffusion-main/run.py", line 22, in main() File "/mpathc/wpeng/codes/0_python_env/diffusers/lib/python3.10/site-packages/hydra/main.py", line...