The Cramer Distance as a Solution to Biased Wasserstein Gradients

30 May 2017

Marc G. Bellemare

Ivo Danihelka

Will Dabney

S. Mohamed

Balaji Lakshminarayanan

Papers citing "The Cramer Distance as a Solution to Biased Wasserstein Gradients"

50 / 73 papers shown

Title
Continuous Visual Autoregressive Generation via Score Maximization Chenze Shao Fandong Meng Jie Zhou DiffM 31 1 0 12 May 2025
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning Simo Alami C. Rim Kaddah Jesse Read Marie-Paule Cani 51 0 0 07 May 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 49 2 0 23 Apr 2025
Towards Scalable Topological Regularizers Hiu-Tung Wong Darrick Lee Hong Yan BDL 62 0 0 24 Jan 2025
Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection Xinjie Cui Yuan Li Ao Luo Jiaran Zhou Junyu Dong 131 4 0 29 Nov 2024
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective Ouxiang Li Jiayin Cai Y. Hao Xiaolong Jiang Yao Hu Fuli Feng AAML 35 8 0 13 Aug 2024
A deep neural network framework for dynamic multi-valued mapping estimation and its applications Geng Li Di Qiu L. Lui 27 0 0 29 Jun 2024
Off-policy Distributional Q( $λ$ ): Distributional RL without Importance Sampling Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney OffRL 12 1 0 08 Feb 2024
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning Lukas Schneider Jonas Frey Takahiro Miki Marco Hutter 30 9 0 25 Sep 2023
Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent Ruichong Zhang 28 0 0 13 Jul 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 17 0 0 04 Jul 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 32 4 0 01 Jun 2023
ComGAN: Toward GANs Exploiting Multiple Samples Hae-Hwan Lee GAN 31 0 0 24 Apr 2023
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 25 48 0 16 Nov 2022
Anisotropic multiresolution analyses for deepfake detection Wei Huang Michelangelo Valsecchi Michael Multerer AAML 26 5 0 26 Oct 2022
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection Sid Ahmed Fezza Mohammed Yasser Ouis Bachir Kaddar W. Hamidouche Abdenour Hadid 21 3 0 01 Oct 2022
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks Mohammad Esmaeilpour Nourhene Chaalia P. Cardinal AAML 21 1 0 14 Jul 2022
Misleading Deep-Fake Detection with GAN Fingerprints Vera Wesselkamp Konrad Rieck Dan Arp Erwin Quiring AAML 28 8 0 25 May 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal GAN 25 2 0 24 May 2022
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach Bobak Shahriari A. Abdolmaleki Arunkumar Byravan A. Friesen Siqi Liu Jost Tobias Springenberg N. Heess Matthew W. Hoffman Martin Riedmiller OffRL 46 27 0 21 Apr 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis Zilong Zhao A. Kunar Robert Birke L. Chen 27 78 0 01 Apr 2022
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images Brandon Khoo C. H. Lim Raphaël C.-W. Phan 26 0 0 18 Mar 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 35 32 0 14 Mar 2022
Deepfake Network Architecture Attribution Tianyun Yang Ziyao Huang Juan Cao Lei Li Xirong Li 60 52 0 28 Feb 2022
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization Lorenzo Pacchiardi Rilwan A. Adewoyin P. Dueben Ritabrata Dutta AI4TS 22 21 0 15 Dec 2021
Bi-Discriminator Class-Conditional Tabular GAN Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal 18 12 0 12 Nov 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 45 648 0 05 Oct 2021
Wavelet-Packets for Deepfake Image Analysis and Detection Moritz Wolter F. Blanke R. Heese Jochen Garcke CVBM 22 41 0 17 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 52 37 0 16 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 34 47 0 03 Jun 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 40 146 0 05 Mar 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
Countering Malicious DeepFakes: Survey, Battleground, and Horizon Felix Juefei Xu Run Wang Yihao Huang Qing Guo Lei Ma Yang Liu AAML 33 132 0 27 Feb 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 132 198 0 16 Feb 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions Todd P. Huster Jérémy E. Cohen Zinan Lin Kevin S. Chan Charles A. Kamhoua Nandi O. Leslie C. Chiang Vyas Sekar GAN 46 26 0 22 Jan 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 74 54 0 05 Jan 2021
Towards Generalized Implementation of Wasserstein Distance in GANs Minkai Xu Zhiming Zhou Guansong Lu Jian Tang Weinan Zhang Yong Yu 21 1 0 07 Dec 2020
Complexity Controlled Generative Adversarial Networks Himanshu Pant Jayadeva Jayadeva Sumit Soman GAN 22 1 0 20 Nov 2020
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering Yihao Huang Felix Juefei Xu Qing Guo Yang Liu G. Pu 33 20 0 19 Sep 2020
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals U. Ciftci Ilke Demir L. Yin 27 74 0 26 Aug 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 26 22 0 14 Jul 2020
Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 33 445 0 07 Jul 2020
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 29 13 0 15 Jun 2020
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure Koorosh Aslansefat Ioannis Sorokos D. Whiting Ramin Tavakoli Kolagari Y. Papadopoulos 28 34 0 27 May 2020
Learning on dynamic statistical manifolds F. Boso D. Tartakovsky 27 10 0 07 May 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 26 81 0 12 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 28 818 0 20 Jan 2020
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 24 57 0 10 Jan 2020
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection Ruben Tolosana R. Vera-Rodríguez Julian Fierrez Aythami Morales J. Ortega-Garcia 3DPC CVBM 51 775 0 01 Jan 2020
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection João C. Neves Ruben Tolosana R. Vera-Rodríguez Vasco Lopes Hugo Proencca Julian Fierrez AAML PICV 21 128 0 13 Nov 2019