Anton Mallasto
5 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (8) π Renaissance Researcher (5) π Interdisciplinary Bridge π Cross-Pollinator (15)
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Trend Setter
Conferences
CVPR (2)
ACML (1)
AISTATS (1)
NIPS (1)
Top co-authors
Keywords
optimal transport
(3)
uncertainty quantification
(2)
riemannian manifold
(2)
gaussian process regression
(1)
nonparametric regression
(1)
manifold-valued regression
(1)
diffusion tensor imaging
(1)
latent variable model
(1)
wasserstein metric
(1)
transport plan
(1)
affine transformation
(1)
manifold-valued datum
(1)
barycenter computation
(1)
deep learning architecture
(1)
neural network
(1)
stochastic cost
(1)
hmc sampling
(1)
wrapped gaussian process
(1)
submanifold learning
(1)
population analysis
(1)
Papers
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
CVPR 2025
Bayesian Inference for Optimal Transport with Stochastic Cost
ACML 2021
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
AISTATS 2019
Wrapped Gaussian Process Regression on Riemannian Manifolds
CVPR 2018
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
NIPS 2017