Causal Adversarial Network for Learning Conditional and Interventional Distributions

26 August 2020

Huan Liu

Papers citing "Causal Adversarial Network for Learning Conditional and Interventional Distributions"

35 / 35 papers shown

Title
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 100 117 0 18 Oct 2019
Causal Discovery with Reinforcement Learning Shengyu Zhu Ignavier Ng Zhitang Chen CML 54 240 0 11 Jun 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 50 273 0 05 Jun 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 67 485 0 22 Apr 2019
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis Minfeng Zhu Pingbo Pan Wei Chen Yi Yang GAN 52 580 0 02 Apr 2019
Causal Discovery Toolbox: Uncover causal relationships in Python Diviyan Kalainathan Olivier Goudet CML 49 82 0 06 Mar 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 237 5,381 0 28 Sep 2018
How good is my GAN? K. Shmelkov Cordelia Schmid Alahari Karteek GAN EGVM 51 348 0 25 Jul 2018
Generating Multi-Categorical Samples with Generative Adversarial Networks R. Camino Christian A. Hammerschmidt R. State SyDa GAN 36 71 0 03 Jul 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets Yunchen Pu Shuyang Dai Zhe Gan Weiyao Wang Guoyin Wang Yizhe Zhang Ricardo Henao Lawrence Carin GAN OOD 57 41 0 08 Jun 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 82 937 0 04 Mar 2018
Is Generator Conditioning Causally Related to GAN Performance? Augustus Odena Jacob Buckman Catherine Olsson Tom B. Brown C. Olah Colin Raffel Ian Goodfellow AI4CE 54 113 0 23 Feb 2018
cGANs with Projection Discriminator Takeru Miyato Masanori Koyama GAN 68 770 0 15 Feb 2018
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 71 253 0 06 Sep 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yuan Liu Xiaodong Yang Jan Kautz GAN 127 1,145 0 17 Jul 2017
Group invariance principles for causal generative models M. Besserve Naji Shajarisales Bernhard Schölkopf Dominik Janzing 55 49 0 05 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 173 9,533 0 31 Mar 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 111 5,554 0 30 Mar 2017
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks Edward Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 195 576 0 19 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 163 4,825 0 26 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 139 1,722 0 31 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 311 19,612 0 21 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 412 3,209 0 30 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 137 401 0 20 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu Weinan Zhang Jun Wang Yong Yu GAN 62 2,396 0 18 Sep 2016
Coupled Generative Adversarial Networks Ming-Yuan Liu Oncel Tuzel OOD GAN 84 1,625 0 24 Jun 2016
Discovering Causal Signals in Images David Lopez-Paz Robert Nishihara Soumith Chintala Bernhard Schölkopf Léon Bottou CML 40 9 0 26 May 2016
Generative Adversarial Text to Image Synthesis Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee GAN 183 3,143 0 17 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 102 1,145 0 05 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 224 8,391 0 28 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 240 10,394 0 06 Nov 2014
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 97 563 0 26 Sep 2013
Identifiability of Causal Graphs using Functional Models J. Peters Joris Mooij Dominik Janzing Bernhard Schölkopf 86 155 0 14 Feb 2012