Hierarchical Implicit Models and Likelihood-Free Variational Inference

28 February 2017

Papers citing "Hierarchical Implicit Models and Likelihood-Free Variational Inference"

21 / 21 papers shown

Title
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation Xinyuan Chen Yangchen Xie Li Sun Yue Lu 19 4 0 30 Dec 2022
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator Cuong V. Nguyen Tien-Dung Cao Tram Truong-Huu Khanh Pham Binh T. Nguyen GAN 13 3 0 21 Oct 2021
GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes Youssef A. Mejjati Isa Milefchik Aaron Gokaslan Oliver Wang K. Kim James Tompkin 3DV 3DGS 27 5 0 24 Jun 2021
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 21 294 0 09 Jun 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 24 152 0 11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Image Synthesis From Reconfigurable Layout and Style Wei Sun Tianfu Wu 27 140 0 20 Aug 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yifan Jiang Zhangyang Wang GAN 29 263 0 11 Aug 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records Linying Zhang Yixin Wang A. Ostropolets J. J. Mulgrave David M. Blei G. Hripcsak BDL CML 15 1 0 03 Apr 2019
GDPP: Learning Diverse Generations Using Determinantal Point Process Mohamed Elfeki Camille Couprie M. Rivière Mohamed Elhoseiny 26 64 0 30 Nov 2018
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 22 68 0 06 Jun 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 15 4,394 0 16 Feb 2018
Implicit Weight Uncertainty in Neural Networks Nick Pawlowski Andrew Brock Matthew C. H. Lee Martin Rajchl Ben Glocker BDL UQCV 27 95 0 03 Nov 2017
Techreport: Time-sensitive probabilistic inference for the edge Christian Weilbach Annette Bieniusa 20 0 0 30 Oct 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric P. Xing DRL GAN 38 127 0 02 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 32 100 0 02 Jun 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models M. Zhang Sinead Williamson F. Pérez-Cruz 21 1 0 19 May 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 15 170 0 27 Feb 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 33 193 0 13 Jan 2017
Asymptotically exact inference in differentiable generative models Matthew M. Graham Amos J. Storkey BDL 21 33 0 25 May 2016