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ResearchFormerly WizWand

Nonlinear Dimensionality Reduction on Static Mapping

1.077MSENN-AE
0.755642.924825.0947.26318Sep 30, 2025
Updated 6mo ago

Evaluation results

MethodLinks
NN-AELatent modes (LM)=82025.091.077
CNN-AECR=4, Epoch=150, Batch size=30, Learning rate=10−1, Step epoch=20, Decay rate=0.5, Parameters (M)=7.6, Training Time (hrs)=1.142025.091.154
NN-AELatent modes (LM)=8, Epoch=2000, Batch size=256, Learning rate=10−2, Step epoch=100, Decay rate=0.5, Parameters (M)=273, Training Time (hrs)=0.13 ± 0.012025.091.22
CNN-AECR=42025.091.629
DIANOFM=16, CR=162025.092.042
DIANOFM=16, CR=16, Epoch=100, Batch size=30, Learning rate=10−2, Step epoch=5, Decay rate=0.75, Parameters (M)=1.22025.092.07
DIANOFM=8, CR=42025.093.488
DIANOFM=8, CR=4, Epoch=100, Batch size=30, Learning rate=10−2, Step epoch=5, Decay rate=0.75, Parameters (M)=1.2, Training Time (hrs)=0.142025.093.506
DIANOFM=8, CR=162025.093.623
CNO2025.093.669
DIANOFM=8, CR=16, Epoch=100, Batch size=30, Learning rate=10−2, Step epoch=5, Decay rate=0.75, Parameters (M)=1.2, Training Time (hrs)=0.17 ± 0.012025.093.687
DIANOFM=32, CR=162025.093.907
DIANOFM=32, CR=16, Epoch=100, Batch size=30, Learning rate=10−2, Step epoch=5, Decay rate=0.75, Parameters (M)=1.2, Training Time (hrs)=0.182025.093.944
DIANOFM=8, CR=642025.094.187
DIANOFM=8, CR=64, Epoch=100, Batch size=30, Learning rate=10−2, Step epoch=5, Decay rate=0.75, Parameters (M)=1.2, Training Time (hrs)=0.182025.094.237
DIANOFM=8, CR=2562025.095.279
DIANOFM=8, CR=256, Epoch=100, Batch size=30, Learning rate=10−2, Step epoch=5, Decay rate=0.75, Parameters (M)=1.2, Training Time (hrs)=0.202025.095.334
CNOEpoch=70, Batch size=30, Learning rate=10−2, Step epoch=5, Decay rate=0.75, Parameters (M)=31, Training Time (hrs)=0.272025.096.752
NN-AELatent modes (LM)=322025.097.267
NN-AELatent modes (LM)=162025.098.448
NN-AELatent modes (LM)=32, Epoch=2000, Batch size=256, Learning rate=10−2, Step epoch=120, Decay rate=0.75, Parameters (M)=273, Training Time (hrs)=0.142025.098.846
NN-AELatent modes (LM)=16, Epoch=2000, Batch size=256, Learning rate=10−2, Step epoch=100, Decay rate=0.5, Parameters (M)=2732025.099.111