Diffusion Models for Counterfactual Explanations

Diffusion Models for Counterfactual Explanations

29 March 2022

Guillaume Jeanneret

Papers citing "Diffusion Models for Counterfactual Explanations"

14 / 14 papers shown

Title
From Visual Explanations to Counterfactual Explanations with Latent Diffusion Tung Luu Nam Le Duc Le Bac Le DiffM AAML FAtt 44 0 0 12 Apr 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 70 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 76 0 0 15 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 36 0 0 12 Jan 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 69 0 0 23 Nov 2024
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski Oleksii Furman Jerzy Stefanowski Maciej Ziȩba 32 2 0 27 May 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
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI H. Bedel Tolga Çukur DiffM MedIm 23 24 0 18 Jul 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 45 11 0 29 Jan 2023
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 325 1,586 0 10 Nov 2021
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 120 297 0 17 Oct 2019