Proximal Optimal Transport Modeling of Population Dynamics

11 June 2021

Charlotte Bunne

Laetitia Meng-Papaxanthos

Andreas Krause

Marco Cuturi

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Papers citing "Proximal Optimal Transport Modeling of Population Dynamics"

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Title
Tree-Sliced Wasserstein Distance with Nonlinear Projection T. Tran Viet-Hoang Tran Thanh T. Chu Trang Pham Laurent El Ghaoui Tam Le T. Nguyen 19 0 0 02 May 2025
Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions Shang Wu Yazhen Wang 43 0 0 11 Jan 2025
Parametric model reduction of mean-field and stochastic systems via higher-order action matching Jules Berman Tobias Blickhan Benjamin Peherstorfer 39 0 0 15 Oct 2024
Scalable Simulation-free Entropic Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi OT 27 0 0 03 Oct 2024
Learning Diffusion at Lightspeed Antonio Terpin Nicolas Lanzetti Florian Dorfler DiffM 43 6 0 18 Jun 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Anming Gu Edward Chien Kristjan Greenewald 46 4 0 11 Jun 2024
Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian Carles Domingo-Enrich Ricky T. Q. Chen Brandon Amos OT 42 15 0 01 Jun 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold Kacper Kapusniak Peter Potaptchik Teodora Reu Leo Zhang Alexander Tong Michael M. Bronstein A. Bose Francesco Di Giovanni 44 12 0 23 May 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 38 10 0 05 Apr 2024
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport N. Buzun Maksim Bobrin Dmitry V. Dylov OT OOD 26 1 0 06 Mar 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myungjoo Kang 43 6 0 08 Feb 2024
Generalized Sobolev Transport for Probability Measures on a Graph Tam Le Truyen V. Nguyen Kenji Fukumizu OT 47 5 0 07 Feb 2024
Neural Sinkhorn Gradient Flow Huminhao Zhu Fangyikang Wang Chao Zhang Han Zhao Hui Qian 27 5 0 25 Jan 2024
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm Stephan Eckstein 26 7 0 07 Nov 2023
Optimal Transport for Measures with Noisy Tree Metric Tam Le Truyen V. Nguyen Kenji Fukumizu OT 32 4 0 20 Oct 2023
A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 37 18 0 16 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 34 4 0 02 Oct 2023
Simulation-free Schrödinger bridges via score and flow matching Alexander Tong Nikolay Malkin Kilian Fatras Lazar Atanackovic Yanlei Zhang G. Huguet Guy Wolf Yoshua Bengio DiffM OT 36 30 0 07 Jul 2023
Unbalanced Diffusion Schrödinger Bridge Matteo Pariset Ya-Ping Hsieh Charlotte Bunne Andreas Krause Valentin De Bortoli DiffM OT 27 3 0 15 Jun 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 24 10 0 12 Jun 2023
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters Maxence Noble Valentin De Bortoli Arnaud Doucet Alain Durmus DiffM OT 34 7 0 26 May 2023
Generative Sliced MMD Flows with Riesz Kernels J. Hertrich Christian Wald Fabian Altekrüger Paul Hagemann 30 23 0 19 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 43 12 0 08 May 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 56 66 0 29 Mar 2023
Deep Momentum Multi-Marginal Schrödinger Bridge T. Chen Guan-Horng Liu Molei Tao Evangelos A. Theodorou 25 9 0 03 Mar 2023
Scalable Unbalanced Sobolev Transport for Measures on a Graph Tam Le Truyen V. Nguyen Kenji Fukumizu OT 25 9 0 24 Feb 2023
Aligned Diffusion Schrödinger Bridges Vignesh Ram Somnath Matteo Pariset Ya-Ping Hsieh María Rodríguez Martínez Andreas Krause Charlotte Bunne DiffM 117 30 0 22 Feb 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 55 26 0 09 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 39 231 0 01 Feb 2023
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels Fabian Altekrüger J. Hertrich Gabriele Steidl 35 13 0 27 Jan 2023
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 34 24 0 29 Dec 2022
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme Alexander Vidal Samy Wu Fung Luis Tenorio Stanley Osher L. Nurbekyan 29 15 0 30 Nov 2022
Proximal Mean Field Learning in Shallow Neural Networks Alexis M. H. Teter Iman Nodozi A. Halder FedML 43 1 0 25 Oct 2022
Action Matching: Learning Stochastic Dynamics from Samples Kirill Neklyudov Rob Brekelmans Daniel de Souza Severo Alireza Makhzani 19 42 0 13 Oct 2022
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings Frederike Lubeck Charlotte Bunne Gabriele Gut J. Castillo L. Pelkmans David Alvarez-Melis OT 18 20 0 30 Sep 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference G. Huguet D. S. Magruder Alexander Tong O. Fasina Manik Kuchroo Guy Wolf Smita Krishnaswamy OT DRL 39 56 0 29 Jun 2022
Supervised Training of Conditional Monge Maps Charlotte Bunne Andreas Krause Marco Cuturi OT 93 60 0 28 Jun 2022
Approximating 1-Wasserstein Distance with Trees M. Yamada Yuki Takezawa Ryoma Sato Hang Bao Zornitsa Kozareva Sujith Ravi 52 8 0 24 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 29 22 0 10 Jun 2022
Neural Optimal Transport with General Cost Functionals Arip Asadulaev Alexander Korotin Vage Egiazarian Petr Mokrov Evgeny Burnaev OT 86 32 0 30 May 2022
Learning with Stochastic Orders Carles Domingo-Enrich Yair Schiff Youssef Mroueh 33 2 0 27 May 2022
Riemannian Metric Learning via Optimal Transport Christopher Scarvelis Justin Solomon OT 42 11 0 18 May 2022
Trajectory Inference via Mean-field Langevin in Path Space Lénaïc Chizat Stephen X. Zhang Matthieu Heitz Geoffrey Schiebinger 31 21 0 14 May 2022
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein Marco Cuturi Laetitia Meng-Papaxanthos Yingtao Tian Charlotte Bunne Geoff Davis O. Teboul OT 143 96 0 28 Jan 2022
Learning Proximal Operators to Discover Multiple Optima Lingxiao Li Noam Aigerman Vladimir G. Kim Jiajin Li Kristjan Greenewald Mikhail Yurochkin Justin Solomon 47 1 0 28 Jan 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 72 54 0 04 Dec 2021
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz 34 21 0 21 Oct 2021
Functional optimal transport: map estimation and domain adaptation for functional data Jiacheng Zhu Aritra Guha Dat Do Mengdi Xu X. Nguyen Ding Zhao OT 37 7 0 07 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 119 95 0 10 Dec 2020
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016