Datasets:

polymathic-ai
/

MHD_64

Tasks:

Time Series Forecasting

Sub-tasks:

multivariate-time-series-forecasting

Languages:

ArXiv:

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rubenohana commited on 9 days ago

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@@ -63,7 +63,7 @@ where \\(\rho\\) is the density, \\(\mathbf{v}\\) is the velocity, \\(\mathbf{B}
 | Dataset    | FNO | TFNO  | Unet | CNextU-net
 |:-:|:-:|:-:|:-:|:-:|
-| `MHD_64`  | 0.3605 | 3561 |0.1798|\\(\mathbf{0.1633}\\)|
 Table: VRMSE metrics on test sets (lower is better). Best results are shown in bold. VRMSE is scaled such that predicting the mean value of the target field results in a score of 1.

 | Dataset    | FNO | TFNO  | Unet | CNextU-net
 |:-:|:-:|:-:|:-:|:-:|
+| `MHD_64`  | 0.3605 | 3561 |0.1798|**0.1633**|
 Table: VRMSE metrics on test sets (lower is better). Best results are shown in bold. VRMSE is scaled such that predicting the mean value of the target field results in a score of 1.