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On amortizing convex conjugates for optimal transport

21 October 2022

Papers citing "On amortizing convex conjugates for optimal transport"

46 / 46 papers shown

Title
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures Nina Vesseron Louis Béthune Marco Cuturi 122 0 0 13 Mar 2025
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction Yanshuo Chen Zhengmian Hu Wei Chen Heng Huang OT 92 2 0 01 Nov 2024
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 142 2 0 04 Oct 2024
On a Neural Implementation of Brenier's Polar Factorization Nina Vesseron Marco Cuturi 93 2 0 05 Mar 2024
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 89 2 0 02 Oct 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 119 5 0 19 May 2023
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings Frederike Lubeck Charlotte Bunne Gabriele Gut J. Castillo L. Pelkmans David Alvarez-Melis OT 51 22 0 30 Sep 2022
Supervised Training of Conditional Monge Maps Charlotte Bunne Andreas Krause Marco Cuturi OT 131 65 0 28 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 94 24 0 10 Jun 2022
Neural Optimal Transport with General Cost Functionals Arip Asadulaev Alexander Korotin Vage Egiazarian Petr Mokrov Evgeny Burnaev OT 100 34 0 30 May 2022
Amortized Proximal Optimization Juhan Bae Paul Vicol Jeff Z. HaoChen Roger C. Grosse ODL 89 14 0 28 Feb 2022
Learning Predictions for Algorithms with Predictions M. Khodak Maria-Florina Balcan Ameet Talwalkar Sergei Vassilvitskii 73 27 0 18 Feb 2022
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 180 70 0 06 Oct 2021
Implicit Riemannian Concave Potential Maps Danilo Jimenez Rezende S. Racanière AI4CE 88 7 0 04 Oct 2021
Faster Matchings via Learned Duals M. Dinitz Sungjin Im Thomas Lavastida Benjamin Moseley Sergei Vassilvitskii 49 69 0 20 Jul 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 63 22 0 18 Jun 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Alexander N. Filippov Evgeny Burnaev OT 143 89 0 03 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 80 57 0 01 Jun 2021
Large-Scale Wasserstein Gradient Flows Petr Mokrov Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Evgeny Burnaev 72 75 0 01 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 243 235 0 23 Mar 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 127 53 0 02 Feb 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 177 98 0 10 Dec 2020
Continuous Regularized Wasserstein Barycenters Lingxiao Li Aude Genevay Mikhail Yurochkin Justin Solomon 65 47 0 28 Aug 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 67 59 0 08 Jul 2020
Multi-marginal Wasserstein GAN Jingyun Liang Langyuan Mo Yifan Zhang Kui Jia Chunhua Shen Mingkui Tan 52 78 0 03 Nov 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin Evgeny Burnaev GAN 196 108 0 28 Sep 2019
Optimal transport mapping via input convex neural networks Ashok Vardhan Makkuva Amirhossein Taghvaei Sewoong Oh Jason D. Lee OT 52 201 0 28 Aug 2019
Adversarial Computation of Optimal Transport Maps Jacob Leygonie Jennifer She Amjad Almahairi Sai Rajeswar Aaron Courville GAN OT 47 21 0 24 Jun 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 64 44 0 01 May 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 63 43 0 19 Feb 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 297 3,138 0 09 Jul 2018
Wasserstein Divergence for GANs Jiqing Wu Zhiwu Huang Janine Thoma Dinesh Acharya Luc Van Gool 75 139 0 04 Dec 2017
Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy B. Damodaran Rémi Flamary Nicolas Courty Antoine Rolet Mathieu Blondel OT 68 249 0 07 Nov 2017
On the regularization of Wasserstein GANs Henning Petzka Asja Fischer Denis Lukovnikov GAN 44 212 0 26 Sep 2017
Continuously Differentiable Exponential Linear Units Jonathan T. Barron 54 141 0 24 Apr 2017
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 280 623 0 22 Sep 2016
Stochastic Optimization for Large-scale Optimal Transport Aude Genevay Marco Cuturi Gabriel Peyré Francis R. Bach OT 75 468 0 27 May 2016
A Multi-Batch L-BFGS Method for Machine Learning A. Berahas J. Nocedal Martin Takáč ODL 64 112 0 19 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,192 0 16 Mar 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 300 5,532 0 23 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,424 0 28 Nov 2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Yann N. Dauphin Razvan Pascanu Çağlar Gülçehre Kyunghyun Cho Surya Ganguli Yoshua Bengio ODL 129 1,389 0 10 Jun 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 218 4,277 0 04 Jun 2013