Generative Adversarial Nets from a Density Ratio Estimation Perspective

10 October 2016

Papers citing "Generative Adversarial Nets from a Density Ratio Estimation Perspective"

38 / 38 papers shown

Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 57 0 0 08 May 2025
Bounds on Lp errors in density ratio estimation via f-divergence loss functions Yoshiaki Kitazawa 33 0 0 02 Oct 2024
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 57 4 0 21 Apr 2023
Generalized Balancing Weights via Deep Neural Networks Yoshiaki Kitazawa BDL CML 35 1 0 14 Nov 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse Sachit Menon David M. Blei Carl Vondrick DRL 50 6 0 19 Jul 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu Willie Neiswanger Stefano Ermon 45 23 0 27 Jun 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 26 2 0 11 May 2022
A Unified Framework for Multi-distribution Density Ratio Estimation Lantao Yu Yujia Jin Stefano Ermon 26 4 0 07 Dec 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 35 11 0 08 Oct 2021
Improving Bridge estimators via $f$ -GAN Hanwen Xing OT 26 3 0 14 Jun 2021
3D Human motion anticipation and classification Emad Barsoum J. Kender Zicheng Liu 3DH 21 1 0 31 Dec 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 31 288 0 30 Apr 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 30 8 0 05 Apr 2020
Limit Distribution for Smooth Total Variation and $χ^2$ -Divergence in High Dimensions Ziv Goldfeld Kengo Kato 36 7 0 03 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 38 827 0 20 Jan 2020
Bridging the Gap Between $f$ -GANs and Wasserstein GANs Jiaming Song Stefano Ermon 30 40 0 22 Oct 2019
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss Xin Ding Z. Jane Wang William J. Welch 26 18 0 24 Sep 2019
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning Yibo Li Jianxing Hu Yanxing Wang Jielong Zhou L. Zhang Zhenming Liu 32 93 0 20 Aug 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 24 10 0 03 Jan 2019
Characterizing and Avoiding Negative Transfer Zirui Wang Zihang Dai Barnabás Póczós J. Carbonell 45 408 0 24 Nov 2018
Global Convergence to the Equilibrium of GANs using Variational Inequalities I. Gemp Sridhar Mahadevan 35 50 0 04 Aug 2018
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning Jihun Hamm Yung-Kyun Noh 27 9 0 29 May 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 45 122 0 28 May 2018
Robust GANs against Dishonest Adversaries Zhi Xu Chengtao Li Stefanie Jegelka AAML 39 3 0 27 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 104 4,407 0 16 Feb 2018
HP-GAN: Probabilistic 3D human motion prediction via GAN Emad Barsoum J. Kender Zicheng Liu 3DH 59 331 0 27 Nov 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 57 2,993 0 19 Oct 2017
Variational Approaches for Auto-Encoding Generative Adversarial Networks Mihaela Rosca Balaji Lakshminarayanan David Warde-Farley S. Mohamed DRL GAN 25 264 0 15 Jun 2017
Kernel Implicit Variational Inference Jiaxin Shi Shengyang Sun Jun Zhu BDL 45 3 0 29 May 2017
Gradient Estimators for Implicit Models Yingzhen Li Richard Turner 37 104 0 19 May 2017
Group invariance principles for causal generative models M. Besserve Naji Shajarisales Bernhard Schölkopf Dominik Janzing 24 48 0 05 May 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 37 100 0 28 Feb 2017
Adversarial Message Passing For Graphical Models Theofanis Karaletsos GAN 27 29 0 15 Dec 2016
Improved generator objectives for GANs Ben Poole Alexander A. Alemi Jascha Narain Sohl-Dickstein A. Angelova 25 70 0 08 Dec 2016
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution Matt J. Kusner José Miguel Hernández-Lobato GAN 24 327 0 12 Nov 2016
Generative Multi-Adversarial Networks Ishan Durugkar I. Gemp Sridhar Mahadevan GAN 36 342 0 05 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 254 3,198 0 30 Oct 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 31 414 0 11 Oct 2016