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Time series classification on sMNIST (test)
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98.5
Accuracy
LRU
81.86
86.18
90.5
94.82
Jan 29, 2026
Accuracy
Inference Time (min)
Emissions (kg)
Energy Consumption (kWh)
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Inference Time (min)
Emissions (kg)
Energy Consumption (kWh)
LRU
Params.=≈ 160k
2026.01
98.5
29.1
0.18
0.57
TRANSFORMER
Params.=≈ 160k
2026.01
98.4
141
0.6
1.81
MAMBA
Params.=≈ 200k
2026.01
98.4
22.87
0.19
0.57
LSTM
Params.=≈ 160k
2026.01
97.5
80.8
0.34
1.02
PARALESN (DEEP)
Params.=≈ 160k
2026.01
97.2
3.3
0.02
0.05
PARALESN
Params.=≈ 160k
2026.01
96.2
2.7
0.01
0.04
ESN (DEEP)
Params.=≈ 160k
2026.01
91.4
8.8
0.04
0.13
ESN
Params.=≈ 160k
2026.01
82.5
4.3
0.02
0.07
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