| image-classification-on-imagenet | GG-SSM-B | – | Top 1 Accuracy: 84.9% |
| multivariate-time-series-forecasting-on-etth2-96-192 | GG-SSM | – | MSE: 0.3534MAE: 0.3982 |
| multivariate-time-series-forecasting-on-etth2-96-336 | GG-SSM | – | MSE: 0.3722MAE: 0.4163 |
| multivariate-time-series-forecasting-on-etth2-96-720 | GG-SSM | – | MSE: 0.4039MAE: 0.4434 |
| multivariate-time-series-forecasting-on-etth2-96-96 | GG-SSM | – | MSE: 0.2823MAE: 0.3472 |
| multivariate-time-series-forecasting-on-ettm2-96-192 | GG-SSM | – | MSE: 0.2373MAE: 0.3105 |
| multivariate-time-series-forecasting-on-ettm2-96-336 | GG-SSM | – | MSE: 0.2826MAE: 0.3448 |
| multivariate-time-series-forecasting-on-ettm2-96-720 | GG-SSM | – | MSE: 0.3596MAE: 0.3928 |
| multivariate-time-series-forecasting-on-ettm2-96-96 | GG-SSM | – | MSE: 0.1725MAE: 0.2633 |
| multivariate-time-series-forecasting-on-traffic-96-192 | GG-SSM | – | MSE: 0.3585MAE: 0.2554 |
| multivariate-time-series-forecasting-on-traffic-96-336 | GG-SSM | – | MSE: 0.3725MAE: 0.2626 |
| multivariate-time-series-forecasting-on-traffic-96-720 | GG-SSM | – | MSE: 0.4167MAE: 0.2855 |
| multivariate-time-series-forecasting-on-traffic-96-96 | GG-SSM | – | MSE: 0.3486MAE: 0.2487 |
| multivariate-time-series-forecasting-on-weather-96-192 | GG-SSM | – | MSE: 0.1918MAE: 0.2405 |
| multivariate-time-series-forecasting-on-weather-96-336 | GG-SSM | – | MSE: 0.2458MAE: 0.2815 |
| multivariate-time-series-forecasting-on-weather-96-720 | GG-SSM | – | MSE: 0.3151MAE: 0.3315 |
| multivariate-time-series-forecasting-on-weather-96-96 | GG-SSM | – | MSE: 0.1473MAE: 0.1956 |