Diffusion Causal Models for Counterfactual Estimation

21 February 2022

Pedro Sanchez

Sotirios A. Tsaftaris

DiffM

BDL

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Papers citing "Diffusion Causal Models for Counterfactual Estimation"

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Title
Causal Disentanglement for Robust Long-tail Medical Image Generation Weizhi Nie Zichun Zhang Weijie Wang Bruno Lepri Anan Liu Nicu Seb DiffM MedIm OOD CML 41 0 0 20 Apr 2025
ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder Andreas Sauter Saber Salehkaleybar Aske Plaat Erman Acar CML 41 0 0 03 Mar 2025
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 22 0 0 16 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomes Yuchen Ma Valentyn Melnychuk J. Schweisthal Stefan Feuerriegel DiffM 25 1 0 11 Oct 2024
DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations Jiageng Zhu Hanchen Xie Jiazhi Li Wael Abd-Almageed DiffM 33 1 0 30 Jul 2024
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models Konstantinos Vilouras Pedro Sanchez Alison Q. OÑeil Sotirios A. Tsaftaris MedIm 37 2 0 19 Apr 2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed MedIm DiffM 31 3 0 16 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 35 5 0 29 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 54 17 0 28 Feb 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models Rishubh Parihar Abhijnya Bhat Abhipsa Basu Saswat Mallick Jogendra Nath Kundu R. V. Babu 43 18 0 28 Feb 2024
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman Matt Jordan Murat Kocaoglu DiffM CML 12 0 0 12 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 25 5 0 07 Feb 2024
Cortical Surface Diffusion Generative Models Zhenshan Xie Simon Dahan Logan Z. J. Williams M. J. Cardoso Emma C. Robinson MedIm 26 0 0 07 Feb 2024
Natural Counterfactuals With Necessary Backtracking Guang-Yuan Hao Jiji Zhang Biwei Huang Hao Wang Kun Zhang 19 0 0 02 Feb 2024
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics Ammar A. Siddiqui Santosh Tirunagari Tehseen Zia David Windridge MedIm 15 1 0 02 Jan 2024
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng Paraskevas Pegios Eike Petersen Aasa Feragen Siavash Bigdeli MedIm CML 21 8 0 21 Dec 2023
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion Nishtha Madaan Srikanta J. Bedathur DiffM 25 0 0 21 Dec 2023
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models I. Ilanchezian Valentyn Boreiko Laura Kühlewein Ziwei Huang M. Ayhan Matthias Hein Lisa M. Koch Philipp Berens DiffM MedIm 16 4 0 20 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 24 186 0 30 Oct 2023
Generator Identification for Linear SDEs with Additive and Multiplicative Noise Yuanyuan Wang Xi Geng Wei Huang Biwei Huang Mingming Gong 11 3 0 30 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 23 7 0 17 Oct 2023
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys Yu Gu Jianwei Yang Naoto Usuyama Chun-yue Li Sheng Zhang M. Lungren Jianfeng Gao Hoifung Poon MedIm 17 22 0 16 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 19 4 0 11 Oct 2023
Latent Diffusion Counterfactual Explanations Karim Farid Simon Schrodi Max Argus Thomas Brox DiffM 33 11 0 10 Oct 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 20 12 0 14 Sep 2023
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI H. Bedel Tolga Çukur DiffM MedIm 18 24 0 18 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 11 35 0 27 Jun 2023
Predictive Coding beyond Correlations Tommaso Salvatori Luca Pinchetti Amine MĆharrak Beren Millidge Thomas Lukasiewicz BDL CML 11 3 0 27 Jun 2023
Advancing Counterfactual Inference through Nonlinear Quantile Regression Shaoan Xie Biwei Huang Bin Gu Tongliang Liu Kun Zhang 11 1 0 09 Jun 2023
Causal normalizing flows: from theory to practice Adrián Javaloy Pablo Sánchez-Martín Isabel Valera TPM CML AI4CE 19 20 0 08 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 14 9 0 06 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 6 11 0 02 Jun 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 23 24 0 02 Mar 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 22 26 0 04 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 39 11 0 29 Jan 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models Arash Nasr-Esfahany Emre Kıcıman 11 11 0 22 Jan 2023
Clarity: an improved gradient method for producing quality visual counterfactual explanations Claire Theobald Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro Amedeo Napoli BDL 25 0 0 22 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 28 351 0 14 Nov 2022
Diffusion Models for Causal Discovery via Topological Ordering Pedro Sanchez Xiao Liu Alison Q. OÑeil Sotirios A. Tsaftaris DiffM 86 46 0 12 Oct 2022
Deep Counterfactual Estimation with Categorical Background Variables E. Brouwer CML 19 7 0 11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 24 104 0 11 Oct 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 186 1,098 0 10 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 195 0 06 Sep 2022
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information Xiao Liu Spyridon Thermos Pedro Sanchez Alison Q. OÑeil Sotirios A. Tsaftaris 28 1 0 06 Aug 2022
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization Pedro Sanchez Antanas Kascenas Xiao Liu Alison Q. OÑeil Sotirios A. Tsaftaris MedIm DiffM 11 60 0 25 Jul 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 24 108 0 23 May 2022
Sparse Visual Counterfactual Explanations in Image Space Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 23 25 0 16 May 2022
Relating Graph Neural Networks to Structural Causal Models Matej Zečević D. Dhami Petar Velickovic Kristian Kersting AI4CE CML 53 53 0 09 Sep 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 19 162 0 20 Oct 2020
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 205 713 0 12 May 2016