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05/12/2023
Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation
Optimal transport (OT) is a powerful geometric tool used to compare and ...
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05/25/2021
Affine Transport for Sim-to-Real Domain Adaptation
Sample-efficient domain adaptation is an open problem in robotics. In th...
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02/05/2021
Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals
Optimal Transport (OT) has emerged as an important computational tool in...
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10/19/2020
Bayesian Inference for Optimal Transport with Stochastic Cost
In machine learning and computer vision, optimal transport has had signi...
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06/05/2020
Entropy-Regularized 2-Wasserstein Distance between Gaussian Measures
Gaussian distributions are plentiful in applications dealing in uncertai...
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10/09/2019
How Well Do WGANs Estimate the Wasserstein Metric?
Generative modelling is often cast as minimizing a similarity measure be...
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02/24/2019
A Formalization of The Natural Gradient Method for General Similarity Measures
In optimization, the natural gradient method is well-known for likelihoo...
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02/10/2019
(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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05/23/2018