Anton Mallasto
5 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core Methods
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Mathematics
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Healthcare & Medicine
(1)
Architectures
(1)
Clinical
(1)
Optimization
(1)
Research
(1)
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 data
(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
NeurIPS 2017