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1801.07745
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Optimal Transport on Discrete Domains
23 January 2018
Justin Solomon
OT
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Papers citing
"Optimal Transport on Discrete Domains"
17 / 17 papers shown
Title
Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches
Rohit Goswami
Hannes Jónsson
12
0
0
07 Oct 2025
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
Sawyer Robertson
Zhengchao Wan
Alexander Cloninger
OT
188
2
0
28 Jan 2025
Deep Generalized Schr\"odinger Bridges: From Image Generation to Solving Mean-Field Games
Guan-Horng Liu
Tianrong Chen
Evangelos A. Theodorou
100
0
0
31 Dec 2024
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
Neural Information Processing Systems (NeurIPS), 2025
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Anastasis Kratsios
Evgeny Burnaev
Alexander Korotin
OT
350
3
0
02 Oct 2023
Recent Advances in Optimal Transport for Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OOD
OT
166
58
0
28 Jun 2023
Material-agnostic Shaping of Granular Materials with Optimal Transport
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Nikhilesh Alatur
Olov Andersson
Roland Siegwart
Lionel Ott
51
1
0
29 Mar 2023
A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density
Grace Cai
Noble Harasha
Nancy A. Lynch
50
3
0
01 Dec 2022
Order Constraints in Optimal Transport
Fabian Lim
L. Wynter
Shiau Hong Lim
OT
114
4
0
14 Oct 2021
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking
David S. Hayden
Sue Zheng
John W. Fisher III
16
3
0
13 Nov 2020
State Alignment-based Imitation Learning
Fangchen Liu
Z. Ling
Tongzhou Mu
Hao Su
149
99
0
21 Nov 2019
Hierarchical Optimal Transport for Document Representation
Neural Information Processing Systems (NeurIPS), 2025
Mikhail Yurochkin
Sebastian Claici
Edward Chien
F. Mirzazadeh
Justin Solomon
OT
124
93
0
26 Jun 2019
Learning Embeddings into Entropic Wasserstein Spaces
International Conference on Learning Representations (ICLR), 2025
Charlie Frogner
F. Mirzazadeh
Justin Solomon
106
33
0
08 May 2019
Deep Closest Point: Learning Representations for Point Cloud Registration
IEEE International Conference on Computer Vision (ICCV), 2023
Yue Wang
Justin Solomon
3DPC
155
897
0
08 May 2019
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025
Lukasz Struski
M. Sadowski
Tomasz Danel
Jacek Tabor
Igor T. Podolak
DiffM
143
8
0
06 Apr 2019
Mode Collapse and Regularity of Optimal Transportation Maps
Na Lei
Yang Guo
Dongsheng An
Xin Qi
Zhongxuan Luo
S. Yau
X. Gu
OT
104
30
0
08 Feb 2019
Computing Kantorovich-Wasserstein Distances on
d
d
d
-dimensional histograms using
(
d
+
1
)
(d+1)
(
d
+
1
)
-partite graphs
Neural Information Processing Systems (NeurIPS), 2025
Gennaro Auricchio
F. Bassetti
Stefano Gualandi
Marco Veneroni
108
22
0
18 May 2018
On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows
F. Bassetti
Stefano Gualandi
Marco Veneroni
134
11
0
02 Apr 2018
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