Generative Modeling using the Sliced Wasserstein Distance

29 March 2018

Papers citing "Generative Modeling using the Sliced Wasserstein Distance"

34 / 34 papers shown

Title
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems Xiaohua Feng Yuyuan Li Fengyuan Yu Ke Xiong Junjie Fang L. Zhang Tianyu Du Chaochao Chen AAML 32 0 0 15 Apr 2025
Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures Jiaqi He Zhihua Wang Leon Wang Tsein-I Liu Yuming Fang Qilin Sun Kede Ma 30 2 0 14 Jul 2024
Energy-Based Sliced Wasserstein Distance Khai Nguyen Nhat Ho 23 21 0 26 Apr 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 27 1 0 18 Apr 2023
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang Ruoyu Sun A. Schwing GAN 19 16 0 27 Nov 2022
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 11 14 0 18 Nov 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances Sloan Nietert Ritwik Sadhu Ziv Goldfeld Kengo Kato 30 37 0 17 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 26 19 0 27 Sep 2022
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation Thanh-Dat Truong N. V. R. Chappa Xuan-Bac Nguyen Ngan Le Ashley Dowling Khoa Luu OOD OT 36 11 0 22 May 2022
Statistical inference with regularized optimal transport Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu OT 38 34 0 09 May 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 18 25 0 04 Apr 2022
Generating natural images with direct Patch Distributions Matching Ariel Elnekave Yair Weiss GAN 31 24 0 22 Mar 2022
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations Zhilu Zhang Ruohao Wang Hongzhi Zhang Yunjin Chen W. Zuo MDE SupR 22 21 0 02 Mar 2022
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network Atharva Karwande Pranesh Shridhar Kulkarni Tejas Kolhe Akshay Joshi S. Kamble GAN 14 2 0 24 Feb 2022
Time Series Anomaly Detection by Cumulative Radon Features Yedid Hoshen AI4TS 4 2 0 08 Feb 2022
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images B. Le Simon S. Woo AAML 19 80 0 07 Dec 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
A Quantum Generative Adversarial Network for distributions Amine Assouel A. Jacquier A. Kondratyev GNN GAN OOD 45 17 0 04 Oct 2021
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks M. Dai Haibin Hang A. Srivastava 16 3 0 08 Sep 2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections Kimia Nadjahi Alain Durmus Pierre E. Jacob Roland Badeau Umut Simsekli 18 36 0 29 Jun 2021
Understanding Overparameterization in Generative Adversarial Networks Yogesh Balaji M. Sajedi N. Kalibhat Mucong Ding Dominik Stöger Mahdi Soltanolkotabi S. Feizi AI4CE 14 21 0 12 Apr 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 16 48 0 02 Mar 2021
Projected Distribution Loss for Image Enhancement M. Delbracio Hossein Talebi P. Milanfar SupR 12 35 0 16 Dec 2020
Generative models with kernel distance in data space Szymon Knop Marcin Mazur P. Spurek Jacek Tabor Igor T. Podolak GAN SyDa 13 11 0 15 Sep 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 21 80 0 12 Mar 2020
Approximate Bayesian Computation with the Sliced-Wasserstein Distance Kimia Nadjahi Valentin De Bortoli Alain Durmus Roland Badeau Umut Simsekli 11 25 0 28 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 14 25 0 09 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 6 22 0 04 Jul 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 22 124 0 10 Apr 2019
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks Elnaz Soleimani Ehsan Nazerfard GAN 14 120 0 29 Mar 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 27 537 0 10 Mar 2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs Anton Mallasto J. Frellsen Wouter Boomsma Aasa Feragen 11 15 0 10 Feb 2019
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs Dinesh Acharya Zhiwu Huang D. Paudel Luc Van Gool GAN 8 68 0 04 Oct 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 26 119 0 21 Jun 2018