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ResearchFormerly WizWand

Log Z estimation on MNIST downsampled (test)

0.11Log Z Absolute ErrorMCD
-5.537232.581470.7108.8186Aug 16, 2022
Updated 8mo ago

Evaluation results

MethodLinks
MCDDimension=7 × 7, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.080.11
ULADimension=7 × 7, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.080.14
UHADimension=7 × 7, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.080.17
MCDDimension=14 × 14, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.086.25
ULADimension=14 × 14, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.0813.24
UHADimension=14 × 14, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.0815.04
MCDDimension=28 × 28, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.0823.1
UHADimension=28 × 28, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.0882.16
ULADimension=28 × 28, Importance samples=4096, Training steps=100K, Batch size=128, Base Model=NICE2022.08141.29