Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions

21 June 2018

Papers citing "Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions"

33 / 33 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 61 0 0 03 Mar 2025
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation Yuhan Zhu Yuyang Ji Zhiyu Zhao Gangshan Wu Limin Wang VLM 41 7 0 05 Jul 2024
Efficient Prior Calibration From Indirect Data O. Deniz Akyildiz M. Girolami Andrew M. Stuart A. Vadeboncoeur 38 1 0 28 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 46 1 0 27 May 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 42 3 0 23 Apr 2024
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance Ilana Sebag Muni Sreenivas Pydi Jean-Yves Franceschi Alain Rakotomamonjy Mike Gartrell Jamal Atif Alexandre Allauzen 24 2 0 13 Dec 2023
Partial Transport for Point-Cloud Registration Yikun Bai Huy Tran S. Damelin Soheil Kolouri 3DPC OT 37 1 0 27 Sep 2023
Refining 6-DoF Grasps with Context-Specific Classifiers Tasbolat Taunyazov Heng Zhang John Patrick Eala Na Zhao Harold Soh 27 2 0 14 Aug 2023
Measure transfer via stochastic slicing and matching Shiying Li Caroline Moosmueller 24 3 0 11 Jul 2023
Energy-Based Sliced Wasserstein Distance Khai Nguyen Nhat Ho 25 21 0 26 Apr 2023
Sliced Optimal Partial Transport Yikun Bai Bernhard Schmitzer Matthew Thorpe Soheil Kolouri OT 26 20 0 15 Dec 2022
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 13 14 0 18 Nov 2022
Block-wise Training of Residual Networks via the Minimizing Movement Scheme Skander Karkar Ibrahim Ayed Emmanuel de Bézenac Patrick Gallinari 27 1 0 03 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 33 19 0 27 Sep 2022
On making optimal transport robust to all outliers Kilian Fatras OT 19 0 0 23 Jun 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 24 25 0 04 Apr 2022
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 8 7 0 11 Dec 2021
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz 34 21 0 21 Oct 2021
Entropic Gromov-Wasserstein between Gaussian Distributions Khang Le Dung D. Le Huy Nguyen Dat Do Tung Pham Nhat Ho OT 24 18 0 24 Aug 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 25 65 0 20 Aug 2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections Kimia Nadjahi Alain Durmus Pierre E. Jacob Roland Badeau Umut Simsekli 23 36 0 29 Jun 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 20 92 0 19 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 40 52 0 01 Jun 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 34 146 0 05 Mar 2021
Stein Variational Gradient Descent: many-particle and long-time asymptotics Nikolas Nusken D. M. Renger 27 22 0 25 Feb 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice Tam Le Truyen V. Nguyen OT 38 15 0 24 Jan 2021
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
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
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
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment Alex Gabourie Mohammad Rostami Phillip E. Pope Soheil Kolouri Kyungnam Kim OOD 16 22 0 04 Jul 2019
Maximum Mean Discrepancy Gradient Flow Michael Arbel Anna Korba Adil Salim A. Gretton 24 158 0 11 Jun 2019
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory Jianyi Zhang Ruiyi Zhang Lawrence Carin Changyou Chen 12 46 0 05 Sep 2018