Beyond explaining: Opportunities and challenges of XAI-based model improvement von Weber, Leander, Lapuschkin, Sebastian, Binder, Alexander, Samek, Wojciech

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Finding and removing Clever Hans: Using explanation methods to debug and improve deep models von Anders, Christopher J., Weber, Leander, Neumann, David, Samek, Wojciech, Müller, Klaus-Robert, Lapuschkin, Sebastian

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A Fresh Look at Sanity Checks for Saliency Maps von Hedström, Anna, Weber, Leander, Lapuschkin, Sebastian, Höhne, Marina

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Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI von Ede, Sami, Baghdadlian, Serop, Weber, Leander, Nguyen, An, Zanca, Dario, Samek, Wojciech, Lapuschkin, Sebastian

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A Fresh Look at Sanity Checks for Saliency Maps von Hedström, Anna, Weber, Leander, Lapuschkin, Sebastian, Höhne, Marina

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Measurably Stronger Explanation Reliability via Model Canonization von Motzkus, Franz, Weber, Leander, Lapuschkin, Sebastian

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Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test von Hedström, Anna, Weber, Leander, Lapuschkin, Sebastian, Höhne, Marina MC

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Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement von Weber, Leander, Lapuschkin, Sebastian, Binder, Alexander, Samek, Wojciech

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Layer-wise Feedback Propagation von Weber, Leander, Berend, Jim, Binder, Alexander, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian

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Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations von Binder, Alexander, Weber, Leander, Lapuschkin, Sebastian, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech

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Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI von Ede, Sami, Baghdadlian, Serop, Weber, Leander, Nguyen, An, Zanca, Dario, Samek, Wojciech, Lapuschkin, Sebastian

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A Fresh Look at Sanity Checks for Saliency Maps von Hedström, Anna, Weber, Leander, Lapuschkin, Sebastian, Höhne, Marina

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Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution von Goh, Gary S W, Lapuschkin, Sebastian, Weber, Leander, Samek, Wojciech, Binder, Alexander

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Measurably Stronger Explanation Reliability via Model Canonization von Motzkus, Franz, Weber, Leander, Lapuschkin, Sebastian

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Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond von Hedström, Anna, Weber, Leander, Bareeva, Dilyara, Krakowczyk, Daniel, Motzkus, Franz, Samek, Wojciech, Lapuschkin, Sebastian, Höhne, Marina M. -C

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Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence von Pahde, Frederik, Dreyer, Maximilian, Weber, Leander, Weckbecker, Moritz, Anders, Christopher J, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian

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Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test von Hedström, Anna, Weber, Leander, Lapuschkin, Sebastian, Marina MC Höhne

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Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models von Anders, Christopher J, Weber, Leander, Neumann, David, Samek, Wojciech, Müller, Klaus-Robert, Lapuschkin, Sebastian

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Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement von Weber, Leander, Lapuschkin, Sebastian, Binder, Alexander, Samek, Wojciech

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Layer-wise Feedback Propagation von Weber, Leander, Berend, Jim, Binder, Alexander, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian

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