Entropy-regularized 2-Wasserstein distance between Gaussian measures von Mallasto, Anton, Gerolin, Augusto, Minh, Hà Quang

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Simulation of Conditioned Diffusions on the Flat Torus von Jensen, Mathias Højgaard, Mallasto, Anton, Sommer, Stefan

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A Formalization of the Natural Gradient Method for General Similarity Measures von Mallasto, Anton, Haije, Tom Dela, Feragen, Aasa

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Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals von Mallasto, Anton

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Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals von Mallasto, Anton

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Bayesian Inference for Optimal Transport with Stochastic Cost von Mallasto, Anton, Heinonen, Markus, Kaski, Samuel

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Entropy-Regularized $2$-Wasserstein Distance between Gaussian Measures von Mallasto, Anton, Gerolin, Augusto, Minh, Hà Quang

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Learning representations that are closed-form Monge mapping optimal with application to domain adaptation von Struckmeier, Oliver, Redko, Ievgen, Mallasto, Anton, Arndt, Karol, Heinonen, Markus, Kyrki, Ville

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How Well Do WGANs Estimate the Wasserstein Metric? von Mallasto, Anton, Montúfar, Guido, Gerolin, Augusto

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Affine Transport for Sim-to-Real Domain Adaptation von Mallasto, Anton, Arndt, Karol, Heinonen, Markus, Kaski, Samuel, Kyrki, Ville

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From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport von Bouniot, Quentin, Redko, Ievgen, Mallasto, Anton, Laclau, Charlotte, Arndt, Karol, Struckmeier, Oliver, Heinonen, Markus, Kyrki, Ville, Kaski, Samuel

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Simulation of Conditioned Diffusions on the Flat Torus von Jensen, Mathias Højgaard, Mallasto, Anton, Sommer, Stefan

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A Formalization of The Natural Gradient Method for General Similarity Measures von Mallasto, Anton, Haije, Tom Dela, Feragen, Aasa

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Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models von Mallasto, Anton, Hauberg, Søren, Feragen, Aasa

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(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs von Mallasto, Anton, Frellsen, Jes, Boomsma, Wouter, Feragen, Aasa

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Bayesian Inference for Optimal Transport with Stochastic Cost von Mallasto, Anton, Heinonen, Markus, Kaski, Samuel

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Entropy-Regularized \(2\)-Wasserstein Distance between Gaussian Measures von Mallasto, Anton, Gerolin, Augusto, Hà, Quang Minh

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From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport von Bouniot, Quentin, Redko, Ievgen, Mallasto, Anton, Laclau, Charlotte, Arndt, Karol, Struckmeier, Oliver, Heinonen, Markus, Kyrki, Ville, Kaski, Samuel

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Learning representations that are closed-form Monge mapping optimal with application to domain adaptation von Struckmeier, Oliver, Redko, Ievgen, Mallasto, Anton, Arndt, Karol, Heinonen, Markus, Kyrki, Ville

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How Well Do WGANs Estimate the Wasserstein Metric? von Mallasto, Anton, Montúfar, Guido, Gerolin, Augusto

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