The Monge Gap: A Regularizer to Learn All Transport Maps

9 February 2023

Papers citing "The Monge Gap: A Regularizer to Learn All Transport Maps"

28 / 28 papers shown

Title
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap Alice Driessen Benedek Harsanyi Marianna Rapsomaniki Jannis Born AI4CE 34 0 0 11 Apr 2025
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 31 5 0 26 Aug 2024
Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces Athina Sotiropoulou David Alvarez-Melis OT 18 2 0 20 Jul 2024
Learning Diffusion at Lightspeed Antonio Terpin Nicolas Lanzetti Florian Dorfler DiffM 29 6 0 18 Jun 2024
Differentiable Cost-Parameterized Monge Map Estimators Samuel Howard George Deligiannidis Patrick Rebeschini James Thornton OT 36 1 0 12 Jun 2024
Progressive Entropic Optimal Transport Solvers Parnian Kassraie Aram-Alexandre Pooladian Michal Klein James Thornton Jonathan Niles-Weed Marco Cuturi OT 25 4 0 07 Jun 2024
Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian Carles Domingo-Enrich Ricky T. Q. Chen Brandon Amos OT 38 15 0 01 Jun 2024
Contrasting Multiple Representations with the Multi-Marginal Matching Gap Zoe Piran Michal Klein James Thornton Marco Cuturi 38 2 0 29 May 2024
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck Hao Yang Zexu Sun Hongteng Xu Xu Chen 35 3 0 24 May 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step Nikita Kornilov Petr Mokrov Alexander Gasnikov Alexander Korotin 24 10 0 19 Mar 2024
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport N. Buzun Maksim Bobrin Dmitry V. Dylov OT OOD 16 1 0 06 Mar 2024
Quantum Theory and Application of Contextual Optimal Transport Nicola Mariella A. Akhriev F. Tacchino Christa Zoufal J. C. González-Espitia ... I. Tavernelli Stefan Woerner Marianna Rapsomaniki Sergiy Zhuk Jannis Born OT 37 3 0 22 Feb 2024
Causal Optimal Transport of Abstractions Yorgos Felekis Fabio Massimo Zennaro Nicola Branchini Theodoros Damoulas CML OT 45 5 0 13 Dec 2023
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation L. Eyring Dominik Klein Théo Uscidda Giovanni Palla Niki Kilbertus Zeynep Akata Fabian J. Theis OT 26 14 0 25 Nov 2023
Conditional Optimal Transport on Function Spaces Bamdad Hosseini Alexander W. Hsu Amirhossein Taghvaei OT 28 14 0 09 Nov 2023
A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 24 17 0 16 Oct 2023
Entropic (Gromov) Wasserstein Flow Matching with GENOT Dominik Klein Théo Uscidda Fabian J. Theis Marco Cuturi OT 24 2 0 13 Oct 2023
A generative flow for conditional sampling via optimal transport Jason Alfonso Ricardo Baptista Anupam Bhakta Noam Gal Alfin Hou I. Lyubimova Daniel Pocklington Josef Sajonz G. Trigila Ryan Tsai OT 16 5 0 09 Jul 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 35 5 0 10 Mar 2023
On amortizing convex conjugates for optimal transport Brandon Amos OT 72 27 0 21 Oct 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 26 6 0 22 Sep 2022
Neural Optimal Transport with General Cost Functionals Arip Asadulaev Alexander Korotin Vage Egiazarian Petr Mokrov Evgeny Burnaev OT 78 32 0 30 May 2022
An Optimal Transport Perspective on Unpaired Image Super-Resolution Milena Gazdieva Litu Rout Alexander Korotin A. Kravchenko Alexander N. Filippov Evgeny Burnaev OT 37 11 0 02 Feb 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 94 0 28 Jan 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 124 88 0 28 Jan 2022
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 74 105 0 24 Sep 2021
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 115 100 0 28 Sep 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 597 0 22 Sep 2016