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ORCIDBernhard Schmitzer
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2020 – today
- 2024
[j16]Clément Sarrazin
, Bernhard Schmitzer:
Linearized Optimal Transport on Manifolds. SIAM J. Math. Anal. 56(4): 4970-5016 (2024)- [j15]Marco Mauritz, Bernhard Schmitzer, Benedikt Wirth:
A Bayesian Model for Dynamic Mass Reconstruction from PET Listmode Data. SIAM J. Math. Anal. 56(5): 5840-5880 (2024) - [i14]Florian Beier, Hancheng Bi, Clément Sarrazin, Bernhard Schmitzer, Gabriele Steidl:
Transfer Operators from Batches of Unpaired Points via Entropic Transport Kernels. CoRR abs/2402.08425 (2024) - [i13]Ismael Medina, Bernhard Schmitzer:
Flow updates for domain decomposition of entropic optimal transport. CoRR abs/2405.09400 (2024) - 2023
- [j14]Mauro Bonafini, Ismael Medina, Bernhard Schmitzer:
Asymptotic analysis of domain decomposition for optimal transport. Numerische Mathematik 153(2-3): 451-492 (2023) - [c9]Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri:
Sliced Optimal Partial Transport. CVPR 2023: 13681-13690 - [i12]Keaton Hamm, Caroline Moosmüller, Bernhard Schmitzer, Matthew Thorpe:
Manifold learning in Wasserstein space. CoRR abs/2311.08549 (2023) - 2022
- [j13]Tianji Cai, Junyi Cheng, Bernhard Schmitzer, Matthew Thorpe:
The Linearized Hellinger-Kantorovich Distance. SIAM J. Imaging Sci. 15(1): 45-83 (2022) - [i11]Oliver Junge, Daniel Matthes, Bernhard Schmitzer:
Entropic transfer operators. CoRR abs/2204.04901 (2022) - [i10]Mauro Bonafini, Olga Minevich, Bernhard Schmitzer:
Hellinger-Kantorovich barycenter between Dirac measures. CoRR abs/2206.11211 (2022) - [i9]Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri:
Sliced Optimal Partial Transport. CoRR abs/2212.08049 (2022) - 2021
- [j12]Mauro Bonafini, Bernhard Schmitzer:
Domain decomposition for entropy regularized optimal transport. Numerische Mathematik 149(4): 819-870 (2021) - [j11]Gero Friesecke, Daniel Matthes, Bernhard Schmitzer:
Barycenters for the Hellinger-Kantorovich Distance Over ℝd. SIAM J. Math. Anal. 53(1): 62-110 (2021) - [i8]Mauro Bonafini, Ismael Medina, Bernhard Schmitzer:
Asymptotic analysis of domain decomposition for optimal transport. CoRR abs/2106.08084 (2021) - 2020
- [j10]Matthias Erbar, Martin Rumpf, Bernhard Schmitzer, Stefan Simon:
Computation of optimal transport on discrete metric measure spaces. Numerische Mathematik 144(1): 157-200 (2020) - [j9]Bernhard Schmitzer, Klaus P. Schäfers, Benedikt Wirth:
Dynamic Cell Imaging in PET With Optimal Transport Regularization. IEEE Trans. Medical Imaging 39(5): 1626-1635 (2020) - [i7]Mauro Bonafini, Bernhard Schmitzer:
Domain decomposition for entropy regularized optimal transport. CoRR abs/2001.10986 (2020)
2010 – 2019
- 2019
- [j8]Bernhard Schmitzer:
Stabilized Sparse Scaling Algorithms for Entropy Regularized Transport Problems. SIAM J. Sci. Comput. 41(3): A1443-A1481 (2019) - [i6]Bernhard Schmitzer, Klaus P. Schäfers, Benedikt Wirth:
Dynamic Cell Imaging in PET with Optimal Transport Regularization. CoRR abs/1902.07521 (2019) - 2018
- [j7]Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard:
An Interpolating Distance Between Optimal Transport and Fisher-Rao Metrics. Found. Comput. Math. 18(1): 1-44 (2018) - [j6]Lenaïc Chizat, Gabriel Peyré, Bernhard Schmitzer, François-Xavier Vialard:
Scaling algorithms for unbalanced optimal transport problems. Math. Comput. 87(314): 2563-2609 (2018) - [c8]Bernhard Schmitzer:
Multi-Scale Algorithms for Optimal Transport. DSW 2018: 1-5 - 2017
- [j5]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
Image Labeling by Assignment. J. Math. Imaging Vis. 58(2): 211-238 (2017) - [j4]Guillaume Carlier, Vincent Duval, Gabriel Peyré, Bernhard Schmitzer:
Convergence of Entropic Schemes for Optimal Transport and Gradient Flows. SIAM J. Math. Anal. 49(2): 1385-1418 (2017) - [c7]Jan Henrik Fitschen, Friederike Laus, Bernhard Schmitzer:
Optimal Transport for Manifold-Valued Images. SSVM 2017: 460-472 - [i5]Bernhard Schmitzer, Benedikt Wirth:
A Framework for Wasserstein-1-Type Metrics. CoRR abs/1701.01945 (2017) - 2016
- [j3]Bernhard Schmitzer:
A Sparse Multiscale Algorithm for Dense Optimal Transport. J. Math. Imaging Vis. 56(2): 238-259 (2016) - [c6]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
The Assignment Manifold: A Smooth Model for Image Labeling. CVPR Workshops 2016: 963-971 - [c5]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
A Geometric Approach to Image Labeling. ECCV (5) 2016: 139-154 - [i4]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
Image Labeling by Assignment. CoRR abs/1603.05285 (2016) - [i3]Bernhard Schmitzer:
Stabilized Sparse Scaling Algorithms for Entropy Regularized Transport Problems. CoRR abs/1610.06519 (2016) - 2015
- [j2]Bernhard Schmitzer, Christoph Schnörr:
Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes. J. Math. Imaging Vis. 52(3): 436-458 (2015) - [c4]Bernhard Schmitzer:
A sparse algorithm for dense optimal transport. SSVM 2015: 629-641 - 2014
- [b1]Bernhard Schmitzer:
Isometry invariant shape priors for variational image segmentation. University of Heidelberg, Germany, 2014, pp. 1-183 - [i2]Bernhard Schmitzer, Christoph Schnörr:
Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes. CoRR abs/1407.3956 (2014) - 2013
- [j1]Bernhard Schmitzer, Christoph Schnörr:
Modelling Convex Shape Priors and Matching Based on the Gromov-Wasserstein Distance. J. Math. Imaging Vis. 46(1): 143-159 (2013) - [c3]Bernhard Schmitzer, Christoph Schnörr:
Object Segmentation by Shape Matching with Wasserstein Modes. EMMCVPR 2013: 123-136 - [c2]Bernhard Schmitzer, Christoph Schnörr:
A Hierarchical Approach to Optimal Transport. SSVM 2013: 452-464 - [i1]Bernhard Schmitzer, Christoph Schnörr:
Contour Manifolds and Optimal Transport. CoRR abs/1309.2240 (2013) - 2011
- [c1]Bernhard Schmitzer, Christoph Schnörr:
Weakly Convex Coupling Continuous Cuts and Shape Priors. SSVM 2011: 423-434
Coauthor Index
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