Leander Weber

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Image Reconstruction From Projections

Back Propagation

Top Venues

Publications

Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina M.-C. Höhne
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test. CoRR (2024)
Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina M.-C. Höhne
A Fresh Look at Sanity Checks for Saliency Maps. CoRR (2024)
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CVPR (2023)
Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond. J. Mach. Learn. Res. 24 (2023)
Leander Weber, Jim Berend, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Layer-wise Feedback Propagation. CoRR (2023)
Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
Beyond explaining: Opportunities and challenges of XAI-based model improvement. Inf. Fusion 92 (2023)
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CoRR (2022)
Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models. Inf. Fusion 77 (2022)
Franz Motzkus, Leander Weber, Sebastian Lapuschkin
Measurably Stronger Explanation Reliability Via Model Canonization. ICIP (2022)
Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement. CoRR (2022)
Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. CoRR (2022)
Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. CD-MAKE (2022)
Frederik Pahde, Leander Weber, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging. CoRR (2022)
Anna Hedström, Leander Weber, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations. CoRR (2022)
Franz Motzkus, Leander Weber, Sebastian Lapuschkin
Measurably Stronger Explanation Reliability via Model Canonization. CoRR (2022)
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. CoRR (2020)
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. ICPR (2020)