A Characteristic Function Approach to Deep Implicit Generative Modeling

16 September 2019

Papers citing "A Characteristic Function Approach to Deep Implicit Generative Modeling"

9 / 9 papers shown

Title
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 48 0 0 26 Apr 2025
Generative Modelling of Lévy Area for High Order SDE Simulation Andravz Jelinvcivc Ji-cheng Tao William F. Turner Thomas Cass James Foster H. Ni DiffM 35 3 0 04 Aug 2023
PCF-GAN: generating sequential data via the characteristic function of measures on the path space Hang Lou Siran Li Hao Ni AI4TS 46 10 0 21 May 2023
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions Rui Yang Jie Wang Zijie Geng Mingxuan Ye Shuiwang Ji Bin Li Fengli Wu OOD 36 20 0 20 May 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 25 16 0 07 Feb 2022
HairCLIP: Design Your Hair by Text and Reference Image Tianyi Wei Dongdong Chen Wenbo Zhou Jing Liao Zhentao Tan Lu Yuan Weiming Zhang Nenghai Yu CLIP 33 108 0 09 Dec 2021
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks M. Dai Haibin Hang A. Srivastava 18 3 0 08 Sep 2021
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 29 13 0 15 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 306 10,378 0 12 Dec 2018