From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation

7 June 2022

Papers citing "From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation"

50 / 83 papers shown

Title
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena Philip Naumann Jacob R. Kauffmann G. Montavon 26 0 0 09 May 2025
Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video Sonia Joseph Praneet Suresh Lorenz Hufe Edward Stevinson Robert Graham Yash Vadi Danilo Bzdok Sebastian Lapuschkin Lee Sharkey Blake A. Richards 72 0 0 28 Apr 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition Jongseo Lee Wooil Lee Gyeong-Moon Park Seong Tae Kim Jinwoo Choi 33 0 0 17 Apr 2025
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images Jiuchen Chen Xinyu Yan Qizhi Xu Kaiqi Li VLM 32 0 0 13 Apr 2025
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs Gesina Schwalbe Georgii Mikriukov Edgar Heinert Stavros Gerolymatos Mert Keser Alois Knoll Matthias Rottmann Annika Mütze 31 0 0 11 Apr 2025
Pairwise Matching of Intermediate Representations for Fine-grained Explainability Lauren Shrack T. Haucke Antoine Salaün Arjun Subramonian Sara Beery 49 0 0 28 Mar 2025
Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni Oisin Mac Aodha Pietro Perona DRL 166 0 0 19 Mar 2025
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification Wenlong Yu Qilong Wang Chuang Liu Dong Li Q. Hu LRM 60 0 0 19 Mar 2025
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations Eren Erogullari Sebastian Lapuschkin Wojciech Samek Frederik Pahde LLMSV CoGe 62 0 0 07 Mar 2025
Causally Reliable Concept Bottleneck Models Giovanni De Felice Arianna Casanova Flores Francesco De Santis Silvia Santini Johannes Schneider Pietro Barbiero Alberto Termine 74 2 0 06 Mar 2025
Conceptualizing Uncertainty Isaac Roberts Alexander Schulz Sarah Schroeder Fabian Hinder Barbara Hammer UD 82 0 0 05 Mar 2025
NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions Tue Cao Nhat X. Hoang Hieu H. Pham P. Nguyen My T. Thai 88 0 0 22 Feb 2025
A Close Look at Decomposition-based XAI-Methods for Transformer Language Models L. Arras Bruno Puri Patrick Kahardipraja Sebastian Lapuschkin Wojciech Samek 46 0 0 21 Feb 2025
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations Ioannis Sarridis C. Koutlis Symeon Papadopoulos Christos Diou CVBM 107 0 0 10 Dec 2024
Aligning Generalisation Between Humans and Machines Filip Ilievski Barbara Hammer F. V. Harmelen Benjamin Paassen S. Saralajew ... Vered Shwartz Gabriella Skitalinskaya Clemens Stachl Gido M. van de Ven T. Villmann 78 1 0 23 Nov 2024
Explainable Artificial Intelligence for Medical Applications: A Review Qiyang Sun Alican Akman Björn Schuller 86 6 0 15 Nov 2024
Visual Question Answering in Ophthalmology: A Progressive and Practical Perspective Xiaolan Chen Ruoyu Chen Pusheng Xu Weiyi Zhang Xianwen Shang M. He Danli Shi 23 1 0 22 Oct 2024
Study on the Helpfulness of Explainable Artificial Intelligence Tobias Labarta Elizaveta Kulicheva Ronja Froelian Christian Geißler Xenia Melman Julian von Klitzing ELM 33 0 0 14 Oct 2024
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin Gleb Schmidt Svetlana Gorovaia Ivan P. Yamshchikov 29 1 0 11 Oct 2024
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization R. Mekala Frederik Pahde Simon Baur Sneha Chandrashekar Madeline Diep ... Jackie Ma Peter Eisert Mikael Lindvall Adam A. Porter Wojciech Samek MedIm GAN 25 2 0 07 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 25 3 0 03 Oct 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee Georgii Mikriukov Gesina Schwalbe Stefan Wermter D. Wolter 55 2 0 20 Sep 2024
Decompose the model: Mechanistic interpretability in image models with Generalized Integrated Gradients (GIG) Yearim Kim Sangyu Han Sangbum Han Nojun Kwak 55 0 0 03 Sep 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 43 4 0 30 Aug 2024
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin ViT 34 1 0 22 Aug 2024
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis Benjamin Frész Vincent Philipp Goebels Safa Omri Danilo Brajovic Andreas Aichele Janika Kutz Jens Neuhüttler Marco F. Huber 28 0 0 22 Jul 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 35 6 0 08 Jul 2024
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models Xiaoyan Yu Jannik Franzen Wojciech Samek Marina M.-C. Höhne Dagmar Kainmueller 41 0 0 03 Jul 2024
Human-like object concept representations emerge naturally in multimodal large language models Changde Du Kaicheng Fu Bincheng Wen Yi Sun Jie Peng ... Chuncheng Zhang Jinpeng Li Shuang Qiu Le Chang Huiguang He 32 1 0 01 Jul 2024
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction Yu Chen Tianyu Cui Alexander Capstick Nan Fletcher-Loyd Payam Barnaghi 33 0 0 25 Jun 2024
A Moonshot for AI Oracles in the Sciences Bryan Kaiser Tailin Wu Maike Sonnewald Colin Thackray Skylar Callis AI4CE 51 0 0 25 Jun 2024
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 36 0 0 13 Jun 2024
Applications of Explainable artificial intelligence in Earth system science Feini Huang Shijie Jiang Lu Li Yongkun Zhang Ye Zhang Ruqing Zhang Qingliang Li Danxi Li Wei Shangguan Yongjiu Dai 38 2 0 12 Jun 2024
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations Franz Motzkus Christian Hellert Ute Schmid DiffM 40 3 0 03 Jun 2024
Locally Testing Model Detections for Semantic Global Concepts Franz Motzkus Georgii Mikriukov Christian Hellert Ute Schmid 40 2 0 27 May 2024
Data Science Principles for Interpretable and Explainable AI Kris Sankaran FaML 40 0 0 17 May 2024
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX Bettina Finzel Patrick Hilme Johannes Rabold Ute Schmid 43 1 0 02 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 41 4 0 29 Apr 2024
Position: Do Not Explain Vision Models Without Context Paulina Tomaszewska Przemysław Biecek 32 1 0 28 Apr 2024
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification C. Tinauer A. Damulina Maximilian Sackl M. Soellradl Reduan Achtibat ... Sebastian Lapuschkin Reinhold Schmidt Stefan Ropele Wojciech Samek C. Langkammer FAtt 27 1 0 16 Apr 2024
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes Ivica Obadic Alex Levering Lars Pennig Dario Augusto Borges Oliveira Diego Marcos Xiaoxiang Zhu 49 0 0 15 Apr 2024
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression Dilyara Bareeva Maximilian Dreyer Frederik Pahde Wojciech Samek Sebastian Lapuschkin KELM 67 1 0 15 Apr 2024
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps Romy Müller HAI 45 6 0 03 Apr 2024
Towards Explaining Hypercomplex Neural Networks Eleonora Lopez Eleonora Grassucci D. Capriotti Danilo Comminiello 40 3 0 26 Mar 2024
Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors Md Abdul Kadir G. Addluri Daniel Sonntag AAML 44 0 0 25 Mar 2024
Forward Learning for Gradient-based Black-box Saliency Map Generation Zeliang Zhang Mingqian Feng Jinyang Jiang Rongyi Zhu Yijie Peng Chenliang Xu FAtt 32 2 0 22 Mar 2024
WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts Yong Hyun Ahn Hyeon Bae Kim Seong Tae Kim 34 4 0 29 Feb 2024
The European Commitment to Human-Centered Technology: The Integral Role of HCI in the EU AI Act's Success André Calero Valdez Moreen Heine Thomas Franke Nicole Jochems Hans-Christian Jetter Tim Schrills 21 0 0 22 Feb 2024
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers Reduan Achtibat Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Aakriti Jain Thomas Wiegand Sebastian Lapuschkin Wojciech Samek 28 25 0 08 Feb 2024