Probabilistic Time Series Forecasting on Weather (MSE, CRPS) benchmark leaderboard · SOTA2 Research

Probabilistic Time Series Forecasting on Weather (MSE, CRPS)

0.169MSED³VAE

Evaluation Results

Method	Links
D³VAE2023.01		0.169	0.357
D³VAE2023.01		0.187	0.361
D³VAE2023.01		0.191	0.358
D³VAE2023.01		0.203	0.383
B-TCVAE2023.01		0.212	0.388
B-TCVAE2023.01		0.234	0.404
B-TCVAE2023.01		0.276	0.463
VAE2023.01		0.329	0.459
f-VAE2023.01		0.337	0.461
VAE2023.01		0.424	0.503
B-TCVAE2023.01		0.439	0.508
f-VAE2023.01		0.53	0.547
VAE2023.01		0.56	0.572
f-VAE2023.01		0.591	0.565
f-VAE2023.01		0.676	0.612
VAE2023.01		0.721	0.635
NVAE2023.01		0.801	0.757
NVAE2023.01		0.811	0.759
NVAE2023.01		0.836	0.777
NVAE2023.01		0.932	0.836
GP-copula2023.01		0.992	0.699
TimeGrad2023.01		1.063	0.696
GP-copula2023.01		1.065	0.747
TimeGrad2023.01		1.11	0.733
TimeGrad2023.01		1.178	0.724
DeepAR2023.01		1.269	0.783
GP-copula2023.01		1.357	0.811
DeepAR2023.01		2.317	0.858
GP-copula2023.01		2.412	0.897
DeepAR2023.01		2.518	0.847
TimeGrad2023.01		2.715	0.92
DeepAR2023.01		3.595	0.994