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Data · dataset · 2026

Data and code for "Entropy Change in Sampling Predicts Downstream Performance in Neural Networks"

Listed in ScienceDB

The DOI contains both the data and codes for the work "Entropy Change in Sampling Predicts Downstream Performance in Neural Networks".Two tasks are related:vision task.

Description

In "vision data and results.zip" we submit the data used to test the accuracy as well as the data to perform Husimi entropy. Meanwhile the calculated results are also contained in this zip file.

In the file "calculate_imagenet_delta_s.py" and "figure-imagenet.ipynb" we provide the code for calculate the Husimi entropy and the figure plot.NOTE: We add a new version ultilizing the multiscale Husimi-entropy for practical applications.MRI task. In "MRI raw data and results data.zip"we provide the MRI k-space data used to train the network as well as the calculated Husimi entropy data.

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In file "zjj-fMRI.ipynb" provides the code used to train the network and analyze the results.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Magnetic resonance imaging 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3108510 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:mrienrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
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