
Affine Transport for SimtoReal Domain Adaptation
Sampleefficient domain adaptation is an open problem in robotics. In th...
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Estimating 2Sinkhorn Divergence between Gaussian Processes from FiniteDimensional Marginals
Optimal Transport (OT) has emerged as an important computational tool in...
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Bayesian Inference for Optimal Transport with Stochastic Cost
In machine learning and computer vision, optimal transport has had signi...
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EntropyRegularized 2Wasserstein Distance between Gaussian Measures
Gaussian distributions are plentiful in applications dealing in uncertai...
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How Well Do WGANs Estimate the Wasserstein Metric?
Generative modelling is often cast as minimizing a similarity measure be...
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A Formalization of The Natural Gradient Method for General Similarity Measures
In optimization, the natural gradient method is wellknown for likelihoo...
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(q,p)Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
Generative Adversial Networks (GANs) have made a major impact in compute...
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Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Latent variable models learn a stochastic embedding from a lowdimension...
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Anton Mallasto
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