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Computational Optimal Transport

Computational Optimal Transport

1 March 2018
Gabriel Peyré
Marco Cuturi
    OT
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Papers citing "Computational Optimal Transport"

50 / 262 papers shown
Title
Monitoring weeder robots and anticipating their functioning by using
  advanced topological data analysis
Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis
Tarek Frahi
Abel Sancarlos
M. Galle
Xavier Beaulieu
A. Chambard
Antonio Falcó
Elías Cueto
Francisco Chinesta
11
1
0
19 Aug 2021
High-Dimensional Distribution Generation Through Deep Neural Networks
High-Dimensional Distribution Generation Through Deep Neural Networks
Dmytro Perekrestenko
Léandre Eberhard
Helmut Bölcskei
OOD
27
6
0
26 Jul 2021
Plugin Estimation of Smooth Optimal Transport Maps
Plugin Estimation of Smooth Optimal Transport Maps
Tudor Manole
Sivaraman Balakrishnan
Jonathan Niles-Weed
Larry A. Wasserman
OT
23
92
0
26 Jul 2021
Estimation of Stationary Optimal Transport Plans
Estimation of Stationary Optimal Transport Plans
Kevin O'Connor
K. Mcgoff
A. Nobel
OT
22
3
0
25 Jul 2021
Fast and Scalable Optimal Transport for Brain Tractograms
Fast and Scalable Optimal Transport for Brain Tractograms
Jean Feydy
Pierre Roussillon
A. Trouvé
Pietro Gori
OT
19
24
0
05 Jul 2021
A Primer on Pretrained Multilingual Language Models
A Primer on Pretrained Multilingual Language Models
Sumanth Doddapaneni
Gowtham Ramesh
Mitesh M. Khapra
Anoop Kunchukuttan
Pratyush Kumar
LRM
43
73
0
01 Jul 2021
Symmetric Wasserstein Autoencoders
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffM
GAN
26
0
0
24 Jun 2021
Asymptotics for semi-discrete entropic optimal transport
Asymptotics for semi-discrete entropic optimal transport
Jason M. Altschuler
Jonathan Niles-Weed
Austin J. Stromme
11
27
0
22 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using
  Quasi-Monte Carlo
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo
Ziang Niu
J. Meier
F. Briol
19
12
0
22 Jun 2021
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity
Jian Huang
Yuling Jiao
Lican Kang
Xu Liao
Jin Liu
Yanyan Liu
32
27
0
21 Jun 2021
JointGT: Graph-Text Joint Representation Learning for Text Generation
  from Knowledge Graphs
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
Pei Ke
Haozhe Ji
Yuanyuan Ran
Xin Cui
Liwei Wang
Linfeng Song
Xiaoyan Zhu
Minlie Huang
50
95
0
19 Jun 2021
Voice2Series: Reprogramming Acoustic Models for Time Series
  Classification
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Chao-Han Huck Yang
Yun-Yun Tsai
Pin-Yu Chen
AI4TS
26
122
0
17 Jun 2021
Proximal Optimal Transport Modeling of Population Dynamics
Proximal Optimal Transport Modeling of Population Dynamics
Charlotte Bunne
Laetitia Meng-Papaxanthos
Andreas Krause
Marco Cuturi
OT
43
81
0
11 Jun 2021
Inter-domain Multi-relational Link Prediction
Inter-domain Multi-relational Link Prediction
Luu Huu Phuc
Koh Takeuchi
Seiji Okajima
A. Tolmachev
T. Takebayashi
Koji Maruhashi
H. Kashima
42
0
0
11 Jun 2021
Large-scale optimal transport map estimation using projection pursuit
Large-scale optimal transport map estimation using projection pursuit
Cheng Meng
Y. Ke
Jingyi Zhang
Mengrui Zhang
Wenxuan Zhong
Ping Ma
OT
11
38
0
09 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and
  Applications
A Survey on Optimal Transport for Machine Learning: Theory and Applications
Luis Caicedo Torres
Luiz Manella Pereira
M. Amini
OOD
OT
31
47
0
03 Jun 2021
MICo: Improved representations via sampling-based state similarity for
  Markov decision processes
MICo: Improved representations via sampling-based state similarity for Markov decision processes
P. S. Castro
Tyler Kastner
Prakash Panangaden
Mark Rowland
40
35
0
03 Jun 2021
Sampling From the Wasserstein Barycenter
Sampling From the Wasserstein Barycenter
Chiheb Daaloul
Thibaut Le Gouic
J. Liandrat
M. I. O. Technology
13
6
0
04 May 2021
Genetic column generation: Fast computation of high-dimensional
  multi-marginal optimal transport problems
Genetic column generation: Fast computation of high-dimensional multi-marginal optimal transport problems
G. Friesecke
Andreas S. Schulz
Daniel Vogler
OT
19
17
0
23 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling
Information Maximization Clustering via Multi-View Self-Labelling
Foivos Ntelemis
Yaochu Jin
S. Thomas
SSL
16
25
0
12 Mar 2021
Low-Rank Sinkhorn Factorization
Low-Rank Sinkhorn Factorization
M. Scetbon
Marco Cuturi
Gabriel Peyré
26
57
0
08 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain
  Adaptation
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras
Thibault Séjourné
Nicolas Courty
Rémi Flamary
OT
32
146
0
05 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein
  Distance)
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
Jan Stanczuk
Christian Etmann
L. Kreusser
Carola-Bibiane Schönlieb
GAN
16
48
0
02 Mar 2021
Information-geometry of physics-informed statistical manifolds and its
  use in data assimilation
Information-geometry of physics-informed statistical manifolds and its use in data assimilation
F. Boso
D. Tartakovsky
AI4CE
39
8
0
01 Mar 2021
Efficient Discretizations of Optimal Transport
Efficient Discretizations of Optimal Transport
Junqi Wang
Pei Wang
Patrick Shafto
OT
14
0
0
16 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal
  Transport
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
41
66
0
15 Feb 2021
Sliced Multi-Marginal Optimal Transport
Sliced Multi-Marginal Optimal Transport
Samuel N. Cohen
Alexander Terenin
Yannik Pitcan
Brandon Amos
M. Deisenroth
K. S. S. Kumar
OT
21
8
0
14 Feb 2021
On Robust Optimal Transport: Computational Complexity and Barycenter
  Computation
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
Khang Le
Huy Le Nguyen
Quang H. Nguyen
Tung Pham
Hung Bui
Nhat Ho
OT
23
37
0
13 Feb 2021
The Gene Mover's Distance: Single-cell similarity via Optimal Transport
The Gene Mover's Distance: Single-cell similarity via Optimal Transport
Riccardo Bellazzi
Andrea Codegoni
Stefano Gualandi
G. Nicora
Eleonora Vercesi
OT
26
15
0
01 Feb 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice
Entropy Partial Transport with Tree Metrics: Theory and Practice
Tam Le
Truyen V. Nguyen
OT
35
15
0
24 Jan 2021
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
66
53
0
05 Jan 2021
Convergence and finite sample approximations of entropic regularized
  Wasserstein distances in Gaussian and RKHS settings
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings
M. H. Quang
54
5
0
05 Jan 2021
Transport information Bregman divergences
Transport information Bregman divergences
Wuchen Li
OT
37
15
0
04 Jan 2021
Unsupervised neural adaptation model based on optimal transport for
  spoken language identification
Unsupervised neural adaptation model based on optimal transport for spoken language identification
Xugang Lu
Peng Shen
Yu Tsao
Hisashi Kawai
22
17
0
24 Dec 2020
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Hongteng Xu
Dixin Luo
Lawrence Carin
H. Zha
46
28
0
10 Dec 2020
Hardness results for Multimarginal Optimal Transport problems
Hardness results for Multimarginal Optimal Transport problems
Jason M. Altschuler
Enric Boix-Adserà
OT
11
31
0
10 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common
  Subsequence Metric Space
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space
Jianming Huang
Zhongxi Fang
Hiroyuki Kasai
23
19
0
07 Dec 2020
Wasserstein k-means with sparse simplex projection
Wasserstein k-means with sparse simplex projection
Takumi Fukunaga
Hiroyuki Kasai
13
12
0
25 Nov 2020
Variational Monocular Depth Estimation for Reliability Prediction
Variational Monocular Depth Estimation for Reliability Prediction
Noriaki Hirose
S. Taguchi
Keisuke Kawano
Satoshi Koide
MDE
34
4
0
24 Nov 2020
Optimal Transport-based Coverage Control for Swarm Robot Systems:
  Generalization of the Voronoi Tessellation-based Method
Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method
Daisuke Inoue
Yuji Ito
H. Yoshida
OT
6
28
0
16 Nov 2020
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery
  Detection
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
Hao Zhu
Chaoyou Fu
Qianyi Wu
Wayne Wu
Chao Qian
R. He
33
32
0
05 Nov 2020
Distributed Learning of Finite Gaussian Mixtures
Distributed Learning of Finite Gaussian Mixtures
Qiong Zhang
Jiahua Chen
44
8
0
20 Oct 2020
GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking
  via Sinkhorn Normalization
GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization
Ioannis Papakis
Abhijit Sarkar
Anuj Karpatne
VOT
21
54
0
30 Sep 2020
Distribution Matching for Crowd Counting
Distribution Matching for Crowd Counting
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
29
282
0
28 Sep 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport
  Driven CycleGAN
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
Gyutaek Oh
Byeongsu Sim
Hyungjin Chung
Leonard Sunwoo
J. C. Ye
OOD
MedIm
30
69
0
29 Aug 2020
Linear Optimal Transport Embedding: Provable Wasserstein classification
  for certain rigid transformations and perturbations
Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations
Caroline Moosmüller
A. Cloninger
OT
9
43
0
20 Aug 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without
  Matched Training Data
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data
Hyungjin Chung
Eunju Cha
Leonard Sunwoo
J. C. Ye
MedIm
25
26
0
04 Aug 2020
Fully distribution-free center-outward rank tests for multiple-output
  regression and MANOVA
Fully distribution-free center-outward rank tests for multiple-output regression and MANOVA
Marc Hallin
D. Hlubinka
Š. Hudecová
24
33
0
30 Jul 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Gilles Puy
Alexandre Boulch
Renaud Marlet
3DPC
OT
127
183
0
22 Jul 2020
Estimating Barycenters of Measures in High Dimensions
Estimating Barycenters of Measures in High Dimensions
Samuel N. Cohen
Michael Arbel
M. Deisenroth
26
22
0
14 Jul 2020
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