Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

12 February 2024

Papers citing "Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand"

21 / 21 papers shown

Title
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling Jawook Gu Hankyu Cho Jiho Kim Kihyun You Eun K. Hong Byungseok Roh 84 6 0 21 Jan 2024
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 80 37 0 27 Jun 2023
Compositional Probabilistic and Causal Inference using Tractable Circuit Models Benjie Wang Marta Kwiatkowska TPM 51 8 0 17 Apr 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 101 29 0 02 Mar 2023
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Pierre J. Chambon Christian Blüthgen Jean-Benoit Delbrouck Rogier van der Sluijs M. Polacin Juan Manuel Zambrano Chaves Tanishq Mathew Abraham Shivanshu Purohit C. Langlotz Akshay S. Chaudhari LM&MA DiffM MedIm 68 102 0 23 Nov 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 91 37 0 30 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,898 0 26 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations Min Zhao Fan Bao Chongxuan Li Jun Zhu DiffM 104 194 0 14 Jul 2022
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing Benedikt Boecking Naoto Usuyama Shruthi Bannur Daniel Coelho De Castro Anton Schwaighofer ... Tristan Naumann A. Nori Javier Alvarez-Valle Hoifung Poon Ozan Oktay 69 243 0 21 Apr 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 83 72 0 21 Feb 2022
The Causal-Neural Connection: Expressiveness, Learnability, and Inference K. Xia Kai-Zhan Lee Yoshua Bengio Elias Bareinboim CML 73 110 0 02 Jul 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models Matej Zečević Devendra Singh Dhami Athresh Karanam S. Natarajan Kristian Kersting CML TPM 72 33 0 20 Feb 2021
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 116 2,504 0 22 Mar 2020
Interpreting the Latent Space of GANs for Semantic Face Editing Yujun Shen Jinjin Gu Xiaoou Tang Bolei Zhou CVBM GAN 117 1,121 0 25 Jul 2019
Explaining Classifiers with Causal Concept Effect (CaCE) Yash Goyal Amir Feder Uri Shalit Been Kim CML 83 177 0 16 Jul 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 589 10,561 0 12 Dec 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation Yunjey Choi Min-Je Choi M. Kim Jung-Woo Ha Sunghun Kim Jaegul Choo GAN 138 3,553 0 24 Nov 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 79 255 0 06 Sep 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 206 744 0 24 May 2017
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,408 0 28 Nov 2014