| Benchmark | Model | Rank | Results |
|---|---|---|---|
| time-series-classification-on-eigenworms | LEM | #1 | % Test Accuracy: 92.3 |
| sequential-image-classification-on-noise-padded-cifar-10 | LEM | #3 | % Test Accuracy: 60.5 |
| sequential-image-classification-on-sequential-mnist | LEM | #18 | Permuted Accuracy: 96.6%Unpermuted Accuracy: 99.5% |