Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy

24 June 2021

Christopher J. Anders

Papers citing "Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy"

46 / 46 papers shown

Title
Pairwise Matching of Intermediate Representations for Fine-grained Explainability Lauren Shrack T. Haucke Antoine Salaün Arjun Subramonian Sara Beery 42 0 0 28 Mar 2025
Escaping Plato's Cave: Robust Conceptual Reasoning through Interpretable 3D Neural Object Volumes Nhi Pham Bernt Schiele Adam Kortylewski Jonas Fischer 56 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 59 0 0 07 Mar 2025
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps Lukasz Sztukiewicz Ignacy Stepka Michał Wiliński Jerzy Stefanowski 31 0 0 28 Feb 2025
A Close Look at Decomposition-based XAI-Methods for Transformer Language Models L. Arras Bruno Puri Patrick Kahardipraja Sebastian Lapuschkin Wojciech Samek 35 0 0 21 Feb 2025
BEExAI: Benchmark to Evaluate Explainable AI Samuel Sithakoul Sara Meftah Clément Feutry 34 8 0 29 Jul 2024
Challenges in explaining deep learning models for data with biological variation Lenka Tětková E. Dreier Robin Malm Lars Kai Hansen AAML 33 1 0 14 Jun 2024
Locally Testing Model Detections for Semantic Global Concepts Franz Motzkus Georgii Mikriukov Christian Hellert Ute Schmid 25 2 0 27 May 2024
Towards Natural Machine Unlearning Zhengbao He Tao Li Xinwen Cheng Zhehao Huang Xiaolin Huang MU 28 3 0 24 May 2024
A Fresh Look at Sanity Checks for Saliency Maps Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne FAtt LRM 34 5 0 03 May 2024
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation Paulo Yanez Sarmiento Simon Witzke Nadja Klein Bernhard Y. Renard FAtt AAML 38 0 0 22 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
Interpreting End-to-End Deep Learning Models for Speech Source Localization Using Layer-wise Relevance Propagation Luca Comanducci Fabio Antonacci Augusto Sarti 29 1 0 04 Apr 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 19 24 0 08 Feb 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 61 20 0 12 Jan 2024
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne LRM 19 3 0 12 Jan 2024
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 26 2 0 13 Dec 2023
Human-Centered Evaluation of XAI Methods Karam Dawoud Wojciech Samek Peter Eisert Sebastian Lapuschkin Sebastian Bosse 48 4 0 11 Oct 2023
Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation Sidney Bender Christopher J. Anders Pattarawat Chormai Heike Marxfeld J. Herrmann G. Montavon CML 14 1 0 02 Oct 2023
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring Florent Forest Hugo Porta D. Tuia Olga Fink 11 7 0 20 Sep 2023
Interpreting Deep Neural Networks with the Package innsight Niklas Koenen Marvin N. Wright FAtt 31 6 0 19 Jun 2023
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery Patrick Wagner Temesgen Mehari Wilhelm Haverkamp Nils Strodthoff 32 18 0 26 May 2023
XAI-based Comparison of Input Representations for Audio Event Classification A. Frommholz Fabian Seipel Sebastian Lapuschkin Wojciech Samek Johanna Vielhaben AAML AI4TS 14 6 0 27 Apr 2023
Robustness of Visual Explanations to Common Data Augmentation Lenka Tětková Lars Kai Hansen AAML 24 6 0 18 Apr 2023
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models Daniel G. Krakowczyk Paul Prasse D. R. Reich Sebastian Lapuschkin Tobias Scheffer Lena A. Jäger 33 2 0 12 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 21 7 0 12 Apr 2023
Multi-Channel Time-Series Person and Soft-Biometric Identification Nilah Ravi Nair Fernando Moya Rueda Christopher Reining Gernot A. Fink 19 3 0 04 Apr 2023
Better Understanding Differences in Attribution Methods via Systematic Evaluations Sukrut Rao Moritz D Boehle Bernt Schiele XAI 19 2 0 21 Mar 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 10 25 0 11 Mar 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 43 17 0 30 Dec 2022
Optimizing Explanations by Network Canonization and Hyperparameter Search Frederik Pahde Galip Umit Yolcu Alexander Binder Wojciech Samek Sebastian Lapuschkin 44 11 0 30 Nov 2022
Towards More Robust Interpretation via Local Gradient Alignment Sunghwan Joo Seokhyeon Jeong Juyeon Heo Adrian Weller Taesup Moon FAtt 25 5 0 29 Nov 2022
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 50 20 0 21 Nov 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 6 0 0 22 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 25 131 0 07 Jun 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI Sami Ede Serop Baghdadlian Leander Weber A. Nguyen Dario Zanca Wojciech Samek Sebastian Lapuschkin CLL 16 6 0 04 May 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement Leander Weber Sebastian Lapuschkin Alexander Binder Wojciech Samek 41 89 0 15 Mar 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 16 168 0 14 Feb 2022
Measurably Stronger Explanation Reliability via Model Canonization Franz Motzkus Leander Weber Sebastian Lapuschkin FAtt 12 6 0 14 Feb 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 55 7 0 07 Feb 2022
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 28 63 0 21 Dec 2021
$ECQ$^{\text{x}}$: Explainability-Driven Quantization for Low-Bit and Sparse DNNs$ ECQ $^{\text{x}}$ : Explainability-Driven Quantization for Low-Bit and Sparse DNNs Daniel Becking Maximilian Dreyer Wojciech Samek Karsten Müller Sebastian Lapuschkin MQ 75 13 0 09 Sep 2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects Oliver T. Unke Stefan Chmiela M. Gastegger Kristof T. Schütt H. E. Sauceda K. Müller 142 244 0 01 May 2021
Choice modelling in the age of machine learning -- discussion paper S. Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 20 87 0 28 Jan 2021
On the Explanation of Machine Learning Predictions in Clinical Gait Analysis D. Slijepcevic Fabian Horst Sebastian Lapuschkin Anna-Maria Raberger Matthias Zeppelzauer Wojciech Samek C. Breiteneder W. Schöllhorn B. Horsak 14 50 0 16 Dec 2019
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 16 93 0 09 Jul 2018