Anton Mallasto

Joined

July 2019

Names

Anton Mallasto

Emails

****@di.ku.dk (Confirmed)

Personal Links

Career & Education History

PhD student

University of Copenhagen (ku.dk)

2016 – 2019

Advisors, Relations & Conflicts

PhD Advisor

2016 – 2019

Expertise

Optimal Transport

Present

Riemannian Geometry

Present

Geometric Statistics

Present

Publications

A Formalization of The Natural Gradient Method for General Similarity Measures.
Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
(q, p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs.
Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
How Well Do WGANs Estimate the Wasserstein Metric?
Anton Mallasto, Guido Montúfar, Augusto Gerolin
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
Simulation of Conditioned Diffusions on the Flat Torus.
Mathias Højgaard Jensen, Anton Mallasto, Stefan Sommer
- 2019 (modified: 09 Nov 2022)
- GSI2019
- Readers: Everyone
Wrapped Gaussian Process Regression on Riemannian Manifolds
Anton Mallasto, Aasa Feragen
- 2018 (modified: 11 Nov 2022)
- CVPR 2018
- Readers: Everyone
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
Anton Mallasto, Aasa Feragen
- 2017 (modified: 11 Nov 2022)
- NIPS 2017
- Readers: Everyone

Co-Authors