Diffusion Models for Counterfactual Explanations

29 March 2022

Papers citing "Diffusion Models for Counterfactual Explanations"

48 / 48 papers shown

Title
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed DiffM 34 0 0 11 May 2025
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks Jeremy Goldwasser Giles Hooker AAML 26 0 0 21 Apr 2025
From Visual Explanations to Counterfactual Explanations with Latent Diffusion Tung Luu Nam Le Duc Le Bac Le DiffM AAML FAtt 50 0 0 12 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals Sara Pohland Claire Tomlin DiffM AAML 51 0 0 07 Apr 2025
Diffusion Counterfactuals for Image Regressors Trung Duc Ha Sidney Bender DiffM 82 0 0 26 Mar 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 44 0 0 24 Feb 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti Pranava Singhal Avishek Ghosh Sunita Sarawagi CML 78 0 0 07 Feb 2025
Graph Counterfactual Explainable AI via Latent Space Traversal Andreas Abildtrup Hansen Paraskevas Pegios Anna Calissano Aasa Feragen OOD BDL AAML 81 0 0 15 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 41 0 0 12 Jan 2025
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan S. Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 98 14 0 03 Dec 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 76 0 0 23 Nov 2024
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Won Jun Kim Hyungjin Chung Jaemin Kim Sangmin Lee Byeongsu Sim Jong Chul Ye DiffM 70 0 0 22 Nov 2024
Gumbel Counterfactual Generation From Language Models Shauli Ravfogel Anej Svete Vésteinn Snæbjarnarson Ryan Cotterell LRM CML 31 1 0 11 Nov 2024
Counterfactual Explanations via Riemannian Latent Space Traversal Paraskevas Pegios Aasa Feragen Andreas Abildtrup Hansen Georgios Arvanitidis BDL 37 1 0 04 Nov 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski Jakub Grzywaczewski Bartlomiej Sadlej Matthew Tivnan P. Biecek CML 41 0 0 16 Oct 2024
Unsupervised Model Diagnosis Yinong Wang Eileen Li Jinqi Luo Zhaoning Wang Fernando De la Torre AAML 24 1 0 08 Oct 2024
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations Anselm Haselhoff Kevin Trelenberg Fabian Küppers Jonas Schneider 22 1 0 19 Sep 2024
Contrast Sets for Evaluating Language-Guided Robot Policies Abrar Anwar Rohan Gupta Jesse Thomason 24 2 0 19 Jun 2024
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations Franz Motzkus Christian Hellert Ute Schmid DiffM 38 3 0 03 Jun 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 38 2 0 27 May 2024
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations Nima Fathi Amar Kumar Brennan Nichyporuk Mohammad Havaei Tal Arbel DiffM CML 29 0 0 15 May 2024
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies Amir Samadi K. Koufos Kurt Debattista M. Dianati 33 4 0 28 Apr 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 56 5 0 18 Apr 2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed MedIm DiffM 39 4 0 16 Apr 2024
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment Paraskevas Pegios Manxi Lin Nina Weng M. B. S. Svendsen Zahra Bashir Siavash Bigdeli Anders Christensen M. Tolsgaard Aasa Feragen MedIm 50 5 0 13 Mar 2024
DXAI: Explaining Classification by Image Decomposition Elnatan Kadar Guy Gilboa FAtt 22 0 0 30 Dec 2023
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng Paraskevas Pegios Eike Petersen Aasa Feragen Siavash Bigdeli MedIm CML 24 8 0 21 Dec 2023
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion Nishtha Madaan Srikanta J. Bedathur DiffM 30 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 24 4 0 20 Nov 2023
Generative Explanations for Graph Neural Network: Methods and Evaluations Jialin Chen Kenza Amara Junchi Yu Rex Ying 37 3 0 09 Nov 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 31 7 0 17 Oct 2023
Latent Diffusion Counterfactual Explanations Karim Farid Simon Schrodi Max Argus Thomas Brox DiffM 33 12 0 10 Oct 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 28 12 0 14 Sep 2023
Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova DiffM 27 4 0 11 Aug 2023
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems Amir Samadi A. Shirian K. Koufos Kurt Debattista M. Dianati AAML FAtt LRM 18 8 0 28 Jul 2023
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI H. Bedel Tolga Çukur DiffM MedIm 23 24 0 18 Jul 2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images Viraj Prabhu Sriram Yenamandra Prithvijit Chattopadhyay Judy Hoffman 15 37 0 30 May 2023
Unstructured and structured data: Can we have the best of both worlds with large language models? W. Tan 15 1 0 25 Apr 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 31 27 0 17 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models L. Zbinden Lars Doorenbos Theodoros Pissas Adrian Thomas Huber Raphael Sznitman Pablo Márquez-Neila DiffM 34 30 0 15 Mar 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation Joshua Vendrow Saachi Jain Logan Engstrom A. Madry OOD 12 34 0 15 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 50 11 0 29 Jan 2023
OCTET: Object-aware Counterfactual Explanations Mehdi Zemni Mickaël Chen Éloi Zablocki H. Ben-younes Patrick Pérez Matthieu Cord AAML 27 29 0 22 Nov 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 194 1,140 0 10 Sep 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 513 0 06 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 330 1,588 0 10 Nov 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 24 162 0 20 Oct 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019