Bernhard Schmitzer

According to our database, Bernhard Schmitzer authored at least 33 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Linearized Optimal Transport on Manifolds.

Clément Sarrazin, Bernhard Schmitzer

SIAM J. Math. Anal., 2024

A Bayesian Model for Dynamic Mass Reconstruction from PET Listmode Data.

Marco Mauritz, Bernhard Schmitzer, Benedikt Wirth

SIAM J. Math. Anal., 2024

Flow updates for domain decomposition of entropic optimal transport.

Ismael Medina, Bernhard Schmitzer

CoRR, 2024

Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels.

Florian Beier, Hancheng Bi, Clément Sarrazin, Bernhard Schmitzer, Gabriele Steidl

CoRR, 2024

2023

Asymptotic analysis of domain decomposition for optimal transport.

Mauro Bonafini, Ismael Medina, Bernhard Schmitzer

Numerische Mathematik, March, 2023

Manifold learning in Wasserstein space.

Keaton Hamm, Caroline Moosmüller, Bernhard Schmitzer, Matthew Thorpe

CoRR, 2023

Sliced Optimal Partial Transport.

Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The Linearized Hellinger-Kantorovich Distance.

Tianji Cai, Junyi Cheng, Bernhard Schmitzer, Matthew Thorpe

SIAM J. Imaging Sci., 2022

Hellinger-Kantorovich barycenter between Dirac measures.

Mauro Bonafini, Olga Minevich, Bernhard Schmitzer

CoRR, 2022

Entropic transfer operators.

Oliver Junge, Daniel Matthes, Bernhard Schmitzer

CoRR, 2022

2021

Barycenters for the Hellinger-Kantorovich Distance Over ℝ^d.

Gero Friesecke, Daniel Matthes, Bernhard Schmitzer

SIAM J. Math. Anal., 2021

Domain decomposition for entropy regularized optimal transport.

Mauro Bonafini, Bernhard Schmitzer

Numerische Mathematik, 2021

2020

Dynamic Cell Imaging in PET With Optimal Transport Regularization.

Bernhard Schmitzer, Klaus P. Schäfers, Benedikt Wirth

IEEE Trans. Medical Imaging, 2020

Computation of optimal transport on discrete metric measure spaces.

Matthias Erbar, Martin Rumpf, Bernhard Schmitzer, Stefan Simon

Numerische Mathematik, 2020

2019

Stabilized Sparse Scaling Algorithms for Entropy Regularized Transport Problems.

Bernhard Schmitzer

SIAM J. Sci. Comput., 2019

2018

Scaling algorithms for unbalanced optimal transport problems.

Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard

Math. Comput., 2018

An Interpolating Distance Between Optimal Transport and Fisher-Rao Metrics.

Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard

Found. Comput. Math., 2018

Multi-Scale Algorithms for Optimal Transport.

Bernhard Schmitzer

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Convergence of Entropic Schemes for Optimal Transport and Gradient Flows.

Guillaume Carlier, Vincent Duval, Gabriel Peyré, Bernhard Schmitzer

SIAM J. Math. Anal., 2017

Image Labeling by Assignment.

Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr

J. Math. Imaging Vis., 2017

A Framework for Wasserstein-1-Type Metrics.

Bernhard Schmitzer, Benedikt Wirth

CoRR, 2017

Optimal Transport for Manifold-Valued Images.

Jan Henrik Fitschen, Friederike Laus, Bernhard Schmitzer

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016

A Sparse Multiscale Algorithm for Dense Optimal Transport.

Bernhard Schmitzer

J. Math. Imaging Vis., 2016

A Geometric Approach to Image Labeling.

Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr

Proceedings of the Computer Vision - ECCV 2016, 2016

The Assignment Manifold: A Smooth Model for Image Labeling.

Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes.

Bernhard Schmitzer, Christoph Schnörr

J. Math. Imaging Vis., 2015

A sparse algorithm for dense optimal transport.

Bernhard Schmitzer

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014

Isometry invariant shape priors for variational image segmentation.

Bernhard Schmitzer

PhD thesis, 2014

2013

Modelling Convex Shape Priors and Matching Based on the Gromov-Wasserstein Distance.

Bernhard Schmitzer, Christoph Schnörr

J. Math. Imaging Vis., 2013

Contour Manifolds and Optimal Transport.

Bernhard Schmitzer, Christoph Schnörr

CoRR, 2013

A Hierarchical Approach to Optimal Transport.

Bernhard Schmitzer, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Object Segmentation by Shape Matching with Wasserstein Modes.

Bernhard Schmitzer, Christoph Schnörr

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2011

Weakly Convex Coupling Continuous Cuts and Shape Priors.

Bernhard Schmitzer, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011