CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

6 September 2017

Murat Kocaoglu

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

50 / 60 papers shown

Title
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 27 0 0 16 Oct 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 34 0 0 24 May 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri Chengli Zhao Feng Chen Xintao Wu CML DiffM 40 5 0 27 Apr 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 51 7 0 29 Mar 2024
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation Baoyu Jing Dawei Zhou Kan Ren Carl Yang CML AI4TS 37 7 0 18 Mar 2024
Robust Emotion Recognition in Context Debiasing Dingkang Yang Kun Yang Mingcheng Li Shunli Wang Shuai Wang Lihua Zhang 43 15 0 09 Mar 2024
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang CML 77 0 0 02 Nov 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 36 2 0 26 Oct 2023
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi Suchi Saria David M. Blei OOD CML 34 7 0 19 Oct 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 40 36 0 27 Jun 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 26 1 0 20 Jun 2023
Neuro-Causal Factor Analysis Alex Markham Ming Liu Bryon Aragam Liam Solus CML 32 3 0 31 May 2023
Optimal transport and Wasserstein distances for causal models Patrick Cheridito Stephan Eckstein OT 40 7 0 24 Mar 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 33 0 0 24 Mar 2023
Towards Composable Distributions of Latent Space Augmentations Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie DRL 31 0 0 06 Mar 2023
Causal Deep Learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML AI4CE 21 25 0 03 Mar 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 43 1 0 22 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 38 11 0 07 Nov 2022
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 30 7 0 24 Oct 2022
Causal Structural Hypothesis Testing and Data Generation Models Jeffrey Q. Jiang Omead Brandon Pooladzandi Sunay Bhat Gregory Pottie CML 40 1 0 20 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 45 32 0 30 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 36 12 0 23 Aug 2022
De-Biasing Generative Models using Counterfactual Methods Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Gregory Pottie CML 46 7 0 04 Jul 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 29 2 0 06 Jun 2022
DÁRTAGNAN: Counterfactual Video Generation Hadrien Reynaud Athanasios Vlontzos Mischa Dombrowski Ciarán M. Gilligan-Lee A. Beqiri Paul Leeson Bernhard Kainz VGen CML MedIm 30 19 0 03 Jun 2022
Principled Knowledge Extrapolation with GANs Ruili Feng Jie Xiao Kecheng Zheng Deli Zhao Jingren Zhou Qibin Sun Zhengjun Zha 62 8 0 21 May 2022
Do learned representations respect causal relationships? Lan Wang Vishnu Boddeti NAI CML OOD 42 6 0 02 Apr 2022
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features Guha Balakrishnan Raghudeep Gadde Aleix M. Martinez Pietro Perona 44 3 0 25 Jan 2022
A Causal Lens for Controllable Text Generation Zhiting Hu Erran L. Li 45 59 0 22 Jan 2022
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 36 21 0 10 Dec 2021
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti Abbavaram Gowtham Reddy V. Balasubramanian Amit Sharma CML 36 13 0 24 Nov 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 37 105 0 25 Oct 2021
A Taxonomy for Inference in Causal Model Families Matej Zevcević Devendra Singh Dhami Kristian Kersting 24 1 0 22 Oct 2021
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation Thien Q. Tran Kazuto Fukuchi Youhei Akimoto Jun Sakuma CML 40 10 0 09 Sep 2021
Estimating Categorical Counterfactuals via Deep Twin Networks Athanasios Vlontzos Bernhard Kainz Ciarán M. Gilligan-Lee OOD CML BDL 26 16 0 04 Sep 2021
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 33 47 0 29 Jun 2021
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks Bingyang Wen Luis Oliveros Colon K. P. Subbalakshmi R. Chandramouli CML GAN 44 18 0 21 Apr 2021
Causal Attention for Vision-Language Tasks Xu Yang Hanwang Zhang Guojun Qi Jianfei Cai CML 28 149 0 05 Mar 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 43 124 0 15 Jan 2021
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 30 317 0 15 Dec 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash V. Balasubramanian Amit Sharma CML 27 64 0 17 Sep 2020
A causal view of compositional zero-shot recognition Yuval Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 61 118 0 25 Jun 2020
Unbiased Auxiliary Classifier GANs with MINE Ligong Han Anastasis Stathopoulos Tao Xue Dimitris N. Metaxas 12 13 0 13 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 33 229 0 11 Jun 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 41 44 0 18 Apr 2020
A theory of independent mechanisms for extrapolation in generative models M. Besserve Rémy Sun Dominik Janzing Bernhard Schölkopf 20 25 0 01 Apr 2020
Learning Generative Models of Tissue Organization with Supervised GANs Ligong Han R. Murphy Deva Ramanan GAN MedIm 26 19 0 31 Mar 2020