Preprints
Preprints
Embedded Files
q-p-WGANs.pdf(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
A. Mallasto, J. Frellsen, W. Boomsma and A. Feragen
Conference
Conference
WGPLVM.pdfProbabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
A. Mallasto, S. Hauberg and A. Feragen
AISTATS - International Conference on Artificial Intelligence and Statistics 2019
CVPR18MallastoFeragen.pdfWrapped Gaussian Process Regression on Riemannian Manifolds
Wrapped Gaussian Process Regression on Riemannian Manifolds
A. Mallasto and A. Feragen
CVPR - IEEE Conference on Computer Vision and Pattern Recognition 2018
nips_mallasto_feragen.pdfLearning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
A. Mallasto and A. Feragen
NeurIPS - Neural Information Processing Systems 2017
Workshop
Workshop
maxent18.pdfOptimal Transport Distance between Wrapped Gaussian Distributions
Optimal Transport Distance between Wrapped Gaussian Distributions
A. Mallasto and A. Feragen
Max Ent -International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering 2018
Posters
Posters
aistats19poster.pdfProbabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
CVPR18poster.pdfWrapped Gaussian Process Regression on Riemannian Manifolds
Wrapped Gaussian Process Regression on Riemannian Manifolds
MallastoFeragenNIPSposter.pdf2-Wasserstein geometry of Gaussian processes
2-Wasserstein geometry of Gaussian processes
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