Computational Optimal Transport

1 March 2018

Papers citing "Computational Optimal Transport"

50 / 262 papers shown

Title
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks Edmond Lezmi Jules Roche T. Roncalli Jiali Xu 26 6 0 09 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 34 56 0 08 Jul 2020
Natural Gradient for Combined Loss Using Wavelets Lexing Ying 11 3 0 29 Jun 2020
Learning normalizing flows from Entropy-Kantorovich potentials Chris Finlay Augusto Gerolin Adam M. Oberman Aram-Alexandre Pooladian 33 23 0 10 Jun 2020
The Lipschitz Constant of Self-Attention Hyunjik Kim George Papamakarios A. Mnih 14 134 0 08 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 18 124 0 08 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
Ridges in the Dark Energy Survey for cosmic trough identification Ben Moews M. Schmitz Andrew J. Lawler J. Zuntz A. Malz R. S. de Souza R. Vilalta A. Krone-Martins E. Ishida 11 3 0 18 May 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 26 80 0 12 Mar 2020
Learning with Differentiable Perturbed Optimizers Quentin Berthet Mathieu Blondel O. Teboul Marco Cuturi Jean-Philippe Vert Francis R. Bach 29 105 0 20 Feb 2020
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization Deyi Liu V. Cevher Quoc Tran-Dinh 21 15 0 17 Feb 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong Jessie Huang Guy Wolf David van Dijk Smita Krishnaswamy 29 158 0 09 Feb 2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm Khiem Pham Khang Le Nhat Ho Tung Pham Hung Bui OT 53 82 0 09 Feb 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 72 194 0 07 Feb 2020
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data Corinne Jones Vincent Roulet Zaïd Harchaoui 28 1 0 30 Dec 2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events Sharaj Panwar P. Rad T. Jung Yufei Huang GAN 27 50 0 11 Nov 2019
Approximate Bayesian Computation with the Sliced-Wasserstein Distance Kimia Nadjahi Valentin De Bortoli Alain Durmus Roland Badeau Umut Simsekli 24 25 0 28 Oct 2019
Dynamic multi-agent assignment via discrete optimal transport Koray G. Kachar Alex A. Gorodetsky OT 17 4 0 23 Oct 2019
Optimal Transport Based Generative Autoencoders Oliver Zhang Ruei-Sung Lin Yuchuan Gou GAN DRL 19 2 0 16 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 22 25 0 09 Oct 2019
On the estimation of the Wasserstein distance in generative models Thomas Pinetz Daniel Soukup T. Pock GAN 11 9 0 02 Oct 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 22 2 0 30 Sep 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 128 100 0 28 Sep 2019
Forward-Backward Splitting for Optimal Transport based Problems Guillermo Ortiz-Jiménez Mireille El Gheche E. Simou Hermina Petric Maretic P. Frossard OT 23 7 0 20 Sep 2019
Estimation of Wasserstein distances in the Spiked Transport Model Jonathan Niles-Weed Philippe Rigollet 25 102 0 16 Sep 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 17 388 0 23 Aug 2019
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space Thibaut Le Gouic Q. Paris Philippe Rigollet Austin J. Stromme 20 51 0 02 Aug 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 21 230 0 24 Jul 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 21 29 0 19 Jul 2019
Hierarchical Optimal Transport for Document Representation Mikhail Yurochkin Sebastian Claici Edward Chien F. Mirzazadeh Justin Solomon OT 16 90 0 26 Jun 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 16 17 0 08 Jun 2019
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 25 117 0 05 Jun 2019
Confidence Regions in Wasserstein Distributionally Robust Estimation Jose H. Blanchet Karthyek Murthy Nian Si OOD 21 57 0 04 Jun 2019
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport François-Pierre Paty Alexandre d’Aspremont Marco Cuturi OT 31 31 0 26 May 2019
Estimating Convergence of Markov chains with L-Lag Couplings N. Biswas Pierre E. Jacob Paul Vanetti 22 47 0 23 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 23 190 0 18 May 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 23 28 0 14 May 2019
Flat Metric Minimization with Applications in Generative Modeling Thomas Möllenhoff Daniel Cremers 17 5 0 12 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 11 42 0 01 May 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 11 24 0 08 Apr 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 24 155 0 03 Apr 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 22 115 0 28 Mar 2019
Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions Malik Tiomoko Romain Couillet 13 4 0 08 Mar 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 33 42 0 19 Feb 2019
Wasserstein Barycenter Model Ensembling Pierre L. Dognin Igor Melnyk Youssef Mroueh Jerret Ross Cicero Nogueira dos Santos Tom Sercu 22 24 0 13 Feb 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs Anton Mallasto J. Frellsen Wouter Boomsma Aasa Feragen 14 15 0 10 Feb 2019
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 19 518 0 07 Dec 2018
GDPP: Learning Diverse Generations Using Determinantal Point Process Mohamed Elfeki Camille Couprie M. Rivière Mohamed Elhoseiny 26 64 0 30 Nov 2018
Spread Divergence Mingtian Zhang Peter Hayes Thomas Bird Raza Habib David Barber MedIm UD 30 20 0 21 Nov 2018
Unsupervised Hyperalignment for Multilingual Word Embeddings J. Alaux Edouard Grave Marco Cuturi Armand Joulin 22 70 0 02 Nov 2018