CausalGAN: Learning Causal Implicit Generative Models with Adversarial
Training

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

6 September 2017

Murat Kocaoglu

Christopher Snyder

Papers citing "CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training"

10 / 60 papers shown

Title
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Explaining Visual Models by Causal Attribution Álvaro Parafita Jordi Vitrià CML FAtt 62 35 0 19 Sep 2019
Leveraging Latent Features for Local Explanations Ronny Luss Pin-Yu Chen Amit Dhurandhar P. Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun-Chen Tu FAtt 49 37 0 29 May 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
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 24 79 0 08 Nov 2018
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 16 25 0 17 Oct 2018
On the Conditional Logic of Simulation Models D. Ibeling Thomas Icard LRM 11 9 0 08 May 2018
Geometrical Insights for Implicit Generative Modeling Léon Bottou Martín Arjovsky David Lopez-Paz Maxime Oquab 32 49 0 21 Dec 2017
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,192 0 30 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 80 391 0 20 Oct 2016