Diffusion Causal Models for Counterfactual Estimation

CLEaR (CLEaR), 2022

21 February 2022

Pedro Sanchez

Sotirios A. Tsaftaris

DiffM

BDL

ArXiv (abs)PDF HTML Github (96★)

Papers citing "Diffusion Causal Models for Counterfactual Estimation"

50 / 63 papers shown

Title
Learning Treatment Policies From Multimodal Electronic Health Records Henri Arno Thomas Demeester CML 139 0 0 24 Dec 2025
The Causal Round Trip: Generating Authentic Counterfactuals by Eliminating Information Loss Rui Wu Lizheng Wang Yongjun Li DiffM 177 0 0 07 Nov 2025
Towards Error-Centric Intelligence II: Energy-Structured Causal Models Marcus Thomas CML 146 0 0 24 Oct 2025
Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries Marius Dragoi Ioana Pintilie Florin Gogianu Florin Brad OffRL LRM 235 0 0 09 Oct 2025
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation Lei Tong Zhihua Liu Chaochao Lu Dino Oglic Tom Diethe Philip Teare Sotirios A. Tsaftaris Chen Jin DiffM CML 254 1 0 29 Sep 2025
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes Valentyn Melnychuk Stefan Feuerriegel 66 0 0 26 Sep 2025
DoubleGen: Debiased Generative Modeling of Counterfactuals Alex Luedtke Kenji Fukumizu 97 1 0 20 Sep 2025
Counterfactual Probabilistic Diffusion with Expert Models Wenhao Mu Zhi Cao Mehmed Uludag Alexander Rodríguez DiffM 152 1 0 18 Aug 2025
CF-Seg: Counterfactuals meet SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025 Raghav Mehta Fabio De Sousa Ribeiro Tian Xia Mélanie Roschewitz Ainkaran Santhirasekaram Dominic C. Marshall Ben Glocker 149 3 0 19 Jun 2025
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models Tian Xia Fabio De Sousa Ribeiro Rajat Rasal Avinash Kori Raghav Mehta Ben Glocker DiffM 326 2 0 17 Jun 2025
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 200 3 0 09 Jun 2025
PO-Flow: Flow-based Generative Models for Sampling Potential Outcomes and Counterfactuals Dongze Wu David I. Inouye Yao Xie 201 1 0 21 May 2025
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Xinran Song Tianyu Chen Mingyuan Zhou DiffM CML 246 0 0 16 May 2025
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 374 1 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 309 3 0 03 Mar 2025
Causally Consistent Normalizing FlowAAAI Conference on Artificial Intelligence (AAAI), 2024 Qingyang Zhou Kangjie Lu Meng Xu 192 0 0 16 Dec 2024
Counterfactual Generative Modeling with Variational Causal InferenceInternational Conference on Learning Representations (ICLR), 2024 Yulun Wu Louie McConnell Claudia Iriondo CML BDL 528 9 0 16 Oct 2024
DiffPO: A causal diffusion model for learning distributions of potential outcomesNeural Information Processing Systems (NeurIPS), 2024 Yuchen Ma Valentyn Melnychuk Jonas Schweisthal Stefan Feuerriegel DiffM 360 15 0 11 Oct 2024
DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations Jiageng Zhu Hanchen Xie Jiazhi Li Wael Abd-Almageed DiffM 178 1 0 30 Jul 2024
IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study Shadab Ahamed Yixi Xu 153 0 0 30 Apr 2024
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models Konstantinos Vilouras Pedro Sanchez Alison Q. OÑeil Sotirios A. Tsaftaris MedIm 525 9 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 263 5 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 494 17 0 29 Mar 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models Rishubh Parihar Abhijnya Bhat Abhipsa Basu Saswat Mallick Jogendra Nath Kundu R. V. Babu 436 37 0 28 Feb 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Kushagra Pandey Robert Bamler Sina Daubener ... Yixin Wang F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin 716 40 0 28 Feb 2024
Conditional Generative Models are Sufficient to Sample from Any Causal Effect EstimandNeural Information Processing Systems (NeurIPS), 2024 Md Musfiqur Rahman Matt Jordan Murat Kocaoglu DiffM CML 192 2 0 12 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 228 16 0 07 Feb 2024
Cortical Surface Diffusion Generative Models Zhenshan Xie Simon Dahan Logan Z. J. Williams M. J. Cardoso Emma C. Robinson MedIm 163 1 0 07 Feb 2024
Natural Counterfactuals With Necessary Backtracking Guang-Yuan Hao Jiji Zhang Erdun Gao Hao Wang Kun Zhang 175 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 210 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 275 22 0 21 Dec 2023
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion Nishtha Madaan Srikanta J. Bedathur DiffM 356 2 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 221 6 0 20 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023 Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 428 353 0 30 Oct 2023
Generator Identification for Linear SDEs with Additive and Multiplicative NoiseNeural Information Processing Systems (NeurIPS), 2023 Yuanyuan Wang Xi Geng Wei Huang Erdun Gao Biwei Huang 275 4 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 444 23 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 386 30 0 16 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 440 9 0 11 Oct 2023
Latent Diffusion Counterfactual ExplanationsGerman Conference on Pattern Recognition (GCPR), 2023 Karim Farid Simon Schrodi Max Argus Thomas Brox DiffM 193 19 0 10 Oct 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box ApproachIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 333 22 0 14 Sep 2023
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRIIEEE Transactions on Medical Imaging (TMI), 2023 H. Bedel Tolga Çukur DiffM MedIm 232 41 0 18 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal ModelsInternational Conference on Machine Learning (ICML), 2023 Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 191 58 0 27 Jun 2023
Predictive Coding beyond CorrelationsInternational Conference on Machine Learning (ICML), 2023 Tommaso Salvatori Luca Pinchetti Amine MĆharrak Beren Millidge Thomas Lukasiewicz BDL CML 303 6 0 27 Jun 2023
Advancing Counterfactual Inference through Nonlinear Quantile Regression Shaoan Xie Erdun Gao Bin Gu Tongliang Liu Kun Zhang 222 1 0 09 Jun 2023
Causal normalizing flows: from theory to practiceNeural Information Processing Systems (NeurIPS), 2023 Adrián Javaloy Pablo Sánchez-Martín Isabel Valera TPM CML AI4CE 354 38 0 08 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State SpacesNeural Information Processing Systems (NeurIPS), 2023 Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 296 13 0 06 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity ModelNeural Information Processing Systems (NeurIPS), 2023 Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 457 13 0 02 Jun 2023
Measuring axiomatic soundness of counterfactual image modelsInternational Conference on Learning Representations (ICLR), 2023 M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 309 36 0 02 Mar 2023
Counterfactual Identifiability of Bijective Causal ModelsInternational Conference on Machine Learning (ICML), 2023 Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 392 37 0 04 Feb 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 382 14 0 29 Jan 2023