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Computational Optimal Transport

Computational Optimal Transport

1 March 2018
Gabriel Peyré
Marco Cuturi
    OT
ArXivPDFHTML

Papers citing "Computational Optimal Transport"

50 / 326 papers shown
Title
Online Unsupervised Video Object Segmentation via Contrastive Motion
  Clustering
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
Lin Xi
Weihai Chen
Xingming Wu
Zhong Liu
Zhengguo Li
VOS
26
9
0
21 Jun 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal
  Transport Benchmark
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
Nikita Gushchin
Alexander Kolesov
Petr Mokrov
Polina Karpikova
A. Spiridonov
Evgeny Burnaev
Alexander Korotin
OT
DiffM
55
15
0
16 Jun 2023
Minimum intrinsic dimension scaling for entropic optimal transport
Minimum intrinsic dimension scaling for entropic optimal transport
Austin J. Stromme
24
10
0
06 Jun 2023
Provable convergence guarantees for black-box variational inference
Provable convergence guarantees for black-box variational inference
Justin Domke
Guillaume Garrigos
Robert Mansel Gower
25
18
0
04 Jun 2023
Rectifying Group Irregularities in Explanations for Distribution Shift
Rectifying Group Irregularities in Explanations for Distribution Shift
Adam Stein
Yinjun Wu
Eric Wong
Mayur Naik
39
1
0
25 May 2023
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Vy Vo
Trung Le
L. Vuong
He Zhao
Edwin V. Bonilla
Dinh Q. Phung
OT
34
4
0
25 May 2023
Consistent Optimal Transport with Empirical Conditional Measures
Consistent Optimal Transport with Empirical Conditional Measures
Piyushi Manupriya
Rachit Keerti Das
Sayantan Biswas
S. Jagarlapudi
OT
40
3
0
25 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced
  Optimal Transport
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myung-joo Kang
OT
46
19
0
24 May 2023
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet
  Energy
Joint Feature and Differentiable k k k-NN Graph Learning using Dirichlet Energy
Lei Xu
Lei Chen
Rong Wang
Feiping Nie
Xuelong Li
29
1
0
21 May 2023
Speeding up Monte Carlo Integration: Control Neighbors for Optimal
  Convergence
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence
Rémi Leluc
Franccois Portier
Johan Segers
Aigerim Zhuman
30
7
0
10 May 2023
The geometry of financial institutions -- Wasserstein clustering of
  financial data
The geometry of financial institutions -- Wasserstein clustering of financial data
Lorenz Riess
Mathias Beiglbock
J. Temme
Andreas Wolf
Julio Backhoff
12
2
0
05 May 2023
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling
Fei Xue
Ignas Budvytis
R. Cipolla
41
13
0
28 Apr 2023
Energy-Based Sliced Wasserstein Distance
Energy-Based Sliced Wasserstein Distance
Khai Nguyen
Nhat Ho
30
21
0
26 Apr 2023
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter
  Problem
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem
Chao Zhang
Hui Qian
Jiahao Xie
12
1
0
23 Apr 2023
Editable User Profiles for Controllable Text Recommendation
Editable User Profiles for Controllable Text Recommendation
Sheshera Mysore
Mahmood Jasim
Andrew McCallum
Hamed Zamani
17
16
0
09 Apr 2023
Optimal Transport for Correctional Learning
Optimal Transport for Correctional Learning
Rebecka Winqvist
Inês Lourenço
Francesco Quinzan
C. Rojas
B. Wahlberg
OT
18
0
0
04 Apr 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and
  Generative Modeling
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
Stefano Peluchetti
OT
DiffM
24
49
0
03 Apr 2023
Applications of No-Collision Transportation Maps in Manifold Learning
Applications of No-Collision Transportation Maps in Manifold Learning
Elisa Negrini
L. Nurbekyan
OT
26
4
0
01 Apr 2023
Diffusion Schrödinger Bridge Matching
Diffusion Schrödinger Bridge Matching
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffM
OT
67
70
0
29 Mar 2023
Optimal transport and Wasserstein distances for causal models
Optimal transport and Wasserstein distances for causal models
Patrick Cheridito
Stephan Eckstein
OT
40
7
0
24 Mar 2023
Optimal Transport for Offline Imitation Learning
Optimal Transport for Offline Imitation Learning
Yicheng Luo
Zhengyao Jiang
Samuel N. Cohen
Edward Grefenstette
M. Deisenroth
OffRL
43
26
0
24 Mar 2023
Light Unbalanced Optimal Transport
Light Unbalanced Optimal Transport
Milena Gazdieva
Arip Asadulaev
Alexander Korotin
Evgeny Burnaev
OT
36
1
0
14 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
OT
45
5
0
10 Mar 2023
Entropic Wasserstein Component Analysis
Entropic Wasserstein Component Analysis
Antoine Collas
Titouan Vayer
Rémi Flamary
A. Breloy
24
1
0
09 Mar 2023
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent
  Disentangled Space
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space
Keisuke Kawano
Takuro Kutsuna
Ryoko Tokuhisa
Akihiro Nakamura
Yasushi Esaki
33
0
0
09 Mar 2023
Aligned Diffusion Schrödinger Bridges
Aligned Diffusion Schrödinger Bridges
Vignesh Ram Somnath
Matteo Pariset
Ya-Ping Hsieh
María Rodríguez Martínez
Andreas Krause
Charlotte Bunne
DiffM
119
32
0
22 Feb 2023
Optimal Transport for Change Detection on LiDAR Point Clouds
Optimal Transport for Change Detection on LiDAR Point Clouds
M. Fiorucci
Peter Naylor
M. Yamada
3DPC
35
1
0
14 Feb 2023
HateProof: Are Hateful Meme Detection Systems really Robust?
HateProof: Are Hateful Meme Detection Systems really Robust?
Piush Aggarwal
Pranit Chawla
Mithun Das
Punyajoy Saha
Binny Mathew
Torsten Zesch
Animesh Mukherjee
AAML
37
8
0
11 Feb 2023
The Monge Gap: A Regularizer to Learn All Transport Maps
The Monge Gap: A Regularizer to Learn All Transport Maps
Théo Uscidda
Marco Cuturi
OT
55
27
0
09 Feb 2023
Sparse and geometry-aware generalisation of the mutual information for
  joint discriminative clustering and feature selection
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection
Louis Ohl
Pierre-Alexandre Mattei
C. Bouveyron
Mickael Leclercq
Arnaud Droit
F. Precioso
VLM
8
2
0
07 Feb 2023
Robust Estimation under the Wasserstein Distance
Robust Estimation under the Wasserstein Distance
Sloan Nietert
Rachel Cummings
Ziv Goldfeld
36
4
0
02 Feb 2023
Transport with Support: Data-Conditional Diffusion Bridges
Transport with Support: Data-Conditional Diffusion Bridges
Ella Tamir
Martin Trapp
Arno Solin
DiffM
OT
28
7
0
31 Jan 2023
Extremal Domain Translation with Neural Optimal Transport
Extremal Domain Translation with Neural Optimal Transport
Milena Gazdieva
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
40
11
0
30 Jan 2023
Robust Attributed Graph Alignment via Joint Structure Learning and
  Optimal Transport
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
Jianheng Tang
Jiexia Ye
Jiajin Li
Kangfei Zhao
Fugee Tsung
Jia Li
OT
20
19
0
30 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces
Personalised Federated Learning On Heterogeneous Feature Spaces
A. Rakotomamonjy
Maxime Vono
H. M. Ruiz
L. Ralaivola
FedML
20
8
0
26 Jan 2023
Minimax estimation of discontinuous optimal transport maps: The
  semi-discrete case
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
Aram-Alexandre Pooladian
Vincent Divol
Jonathan Niles-Weed
OT
27
20
0
26 Jan 2023
Arcade Processes for Informed Martingale Interpolation
Arcade Processes for Informed Martingale Interpolation
G. Kassis
A. Macrina
8
0
0
14 Jan 2023
Sliced Optimal Partial Transport
Sliced Optimal Partial Transport
Yikun Bai
Bernhard Schmitzer
Matthew Thorpe
Soheil Kolouri
OT
29
20
0
15 Dec 2022
Progressive Multi-resolution Loss for Crowd Counting
Progressive Multi-resolution Loss for Crowd Counting
Ziheng Yan
Yuankai Qi
Guorong Li
Xinyan Liu
Weigang Zhang
Qingming Huang
Ming-Hsuan Yang
26
10
0
08 Dec 2022
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity
  Priors
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Daniel Cremers
26
5
0
06 Dec 2022
Gaussian Process regression over discrete probability measures: on the
  non-stationarity relation between Euclidean and Wasserstein Squared
  Exponential Kernels
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels
Antonio Candelieri
Andrea Ponti
Francesco Archetti
14
1
0
02 Dec 2022
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D
  Reconstruction
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction
Bin Tan
Nan Xue
Tianfu Wu
Guisong Xia
35
15
0
30 Nov 2022
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the
  JKO Scheme
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme
Alexander Vidal
Samy Wu Fung
Luis Tenorio
Stanley Osher
L. Nurbekyan
35
15
0
30 Nov 2022
Moment-SoS Methods for Optimal Transport Problems
Moment-SoS Methods for Optimal Transport Problems
Olga Mula
A. Nouy
OT
18
9
0
19 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
30
48
0
16 Nov 2022
Scalable multi-class sampling via filtered sliced optimal transport
Scalable multi-class sampling via filtered sliced optimal transport
Corentin Salaün
Iliyan Georgiev
Hans-Peter Seidel
Gurprit Singh
30
21
0
08 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin
Alexander Kolesov
Alexander Korotin
Dmitry Vetrov
Evgeny Burnaev
OT
DiffM
42
37
0
02 Nov 2022
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds
G. Huguet
Alexander Tong
María Ramos Zapatero
Christopher J. Tape
Guy Wolf
Smita Krishnaswamy
OT
9
7
0
02 Nov 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Prabhant Singh
Joaquin Vanschoren
OOD
33
3
0
01 Nov 2022
Bilingual Lexicon Induction for Low-Resource Languages using Graph
  Matching via Optimal Transport
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport
Kelly Marchisio
Ali Saad-Eldin
Kevin Duh
Carey Priebe
Philipp Koehn
OT
35
7
0
25 Oct 2022
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