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Research map / Learning theory and algorithms / Optimal transport

Spherical Sliced-Wasserstein

ICLR 2023 · Learning theory and algorithms › Optimal transport · approach: Sliced Wasserstein variants · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SSW instead of SW as the density-estimation lossexponential map normalizing flow · Earthquakenegative test log likelihood: 0.94 -> 0.84Helped
Use SSW instead of SW as the density-estimation lossexponential map normalizing flow · Floodnegative test log likelihood: 1.36 -> 1.26Helped
Use SSW instead of SW as the density-estimation lossexponential map normalizing flow · Firenegative test log likelihood: 0.54 -> 0.23Helped
Replace SW with SSW and use a spherical priorSWAE · MNISTFID: 15.18 -> 14.91Helped
Replace SW with SSW and use a spherical priorSWAE · FashionFID: 44.78 -> 43.94Helped
Replace SW with SSW and use a spherical priorSWAE · CIFAR10FID: 98.5 -> 98.57Hurt

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