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Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees

27 January 2023

Papers citing "Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees"

35 / 35 papers shown

Title
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique Shreyas Gururaj Lars Grüne Wojciech Samek Sebastian Lapuschkin Leander Weber 232 0 0 27 May 2025
FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion models Nils Neukirch Johanna Vielhaben Nils Strodthoff DiffM 160 1 0 27 May 2025
Measuring the (Un)Faithfulness of Concept-Based Explanations Shubham Kumar Dwip Dalal 231 0 0 15 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 208 0 0 11 Apr 2025
From Colors to Classes: Emergence of Concepts in Vision Transformers Teresa Dorszewski Lenka Tětková Robert Jenssen Lars Kai Hansen Kristoffer Wickstrøm 139 9 0 31 Mar 2025
Towards Human-Understandable Multi-Dimensional Concept DiscoveryComputer Vision and Pattern Recognition (CVPR), 2025 Arne Grobrugge Niklas Kühl G. Satzger Philipp Spitzer 178 1 0 24 Mar 2025
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning Nhi Pham Bernt Schiele Bernt Schiele Adam Kortylewski Jonas Fischer 174 0 0 17 Mar 2025
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations Eren Erogullari Sebastian Lapuschkin Wojciech Samek Frederik Pahde LLMSV CoGe 146 1 0 07 Mar 2025
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models Thomas Fel Ekdeep Singh Lubana Jacob S. Prince M. Kowal Victor Boutin Isabel Papadimitriou Binxu Wang Martin Wattenberg Demba Ba Talia Konkle 155 18 0 18 Feb 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 216 20 0 06 Feb 2025
ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated SimulatabilityAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Antonin Poché Alon Jacovi Agustin Picard Victor Boutin Fanny Jourdan 287 4 0 10 Jan 2025
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 147 4 0 06 Nov 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 169 11 0 20 Sep 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 147 13 0 08 Jul 2024
Concept Bottleneck Models Without Predefined Concepts Simon Schrodi Julian Schur Max Argus Thomas Brox 154 15 0 04 Jul 2024
A Concept-Based Explainability Framework for Large Multimodal Models Jayneel Parekh Pegah Khayatan Mustafa Shukor A. Newson Matthieu Cord 174 30 0 12 Jun 2024
Locally Testing Model Detections for Semantic Global Concepts Franz Motzkus Georgii Mikriukov Christian Hellert Ute Schmid 199 3 0 27 May 2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed MedIm DiffM 179 5 0 16 Apr 2024
Knowledge graphs for empirical concept retrieval Lenka Tětková Teresa Scheidt Maria Mandrup Fogh Ellen Marie Gaunby Jorgensen F. Nielsen Lars Kai Hansen 101 3 0 10 Apr 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 167 5 0 21 Mar 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 188 26 0 12 Jan 2024
Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva Marina M.-C. Höhne Alexander Warnecke Lukas Pirch Klaus-Robert Müller Konrad Rieck Sebastian Lapuschkin Kirill Bykov AAML 174 6 0 11 Jan 2024
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 182 79 0 20 Dec 2023
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care Nils Strodthoff Juan Miguel Lopez Alcaraz Wilhelm Haverkamp 129 0 0 18 Dec 2023
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations Maximilian Dreyer Reduan Achtibat Wojciech Samek Sebastian Lapuschkin 126 19 0 28 Nov 2023
Labeling Neural Representations with Inverse RecognitionNeural Information Processing Systems (NeurIPS), 2023 Kirill Bykov Laura Kopf Shinichi Nakajima Matthias Kirchler Marina M.-C. Höhne BDL 222 24 0 22 Nov 2023
Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signalsPLoS ONE (PLoS ONE), 2023 Gabriel Ott Yannik Schaubelt Juan Miguel Lopez Alcaraz Wilhelm Haverkamp Nils Strodthoff 144 10 0 11 Oct 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance EstimationNeural Information Processing Systems (NeurIPS), 2023 Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 207 74 0 11 Jun 2023
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery Patrick Wagner Temesgen Mehari Wilhelm Haverkamp Nils Strodthoff 159 25 0 26 May 2023
Unsupervised Interpretable Basis Extraction for Concept-Based Visual ExplanationsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 Alexandros Doumanoglou S. Asteriadis D. Zarpalas FAtt SSL 121 6 0 19 Mar 2023
Explainable AI for Time Series via Virtual Inspection LayersPattern Recognition (Pattern Recogn.), 2023 Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 173 36 0 11 Mar 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant SubspacesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 236 26 0 30 Dec 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional DivergenceInternational Conference on Learning Representations (ICLR), 2022 Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 254 17 0 07 Feb 2022
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark Sören Becker Johanna Vielhaben M. Ackermann Klaus-Robert Muller Sebastian Lapuschkin Wojciech Samek XAI 241 128 0 09 Jul 2018
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.7K 18,705 0 16 Feb 2016