Leander Weber

23 papers A* 2B 2C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Structural Compactness as a Complementary Criterion for Explanation Quality.
CoRR
Mohammad Mahdi Mesgari, Jackie Ma, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
2025 J jnl
Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation.
Trans. Mach. Learn. Res.
Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025 A* conf
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence.
ICLR
Frederik Pahde, Maximilian Dreyer, Moritz Weckbecker, Leander Weber, Christopher J. Anders, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025 J jnl
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique.
CoRR
Shreyas Gururaj, Lars Grüne, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
2025 J jnl
See What I Mean? CUE: A Cognitive Model of Understanding Explanations.
CoRR
Tobias Labarta, Nhi Hoang, Katharina Weitz, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
2024 — conf
A Fresh Look at Sanity Checks for Saliency Maps.
xAI (1)
Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina M.-C. Höhne
2024 J jnl
A Fresh Look at Sanity Checks for Saliency Maps.
CoRR
Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina M.-C. Höhne
2024 J jnl
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test.
CoRR
Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina M.-C. Höhne
2023 J jnl
Beyond explaining: Opportunities and challenges of XAI-based model improvement.
Inf. Fusion
Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
2023 J jnl
Layer-wise Feedback Propagation.
CoRR
Leander Weber, Jim Berend, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2023 J jnl
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond.
J. Mach. Learn. Res.
Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
2023 A* conf
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations.
CVPR
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2022 J jnl
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement.
CoRR
Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
2022 C conf
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI.
CD-MAKE
Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin
2022 J jnl
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI.
CoRR
Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin
2022 J jnl
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models.
Inf. Fusion
Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
2022 B conf
Measurably Stronger Explanation Reliability Via Model Canonization.
ICIP
Franz Motzkus, Leander Weber, Sebastian Lapuschkin
2022 J jnl
Measurably Stronger Explanation Reliability via Model Canonization.
CoRR
Franz Motzkus, Leander Weber, Sebastian Lapuschkin
2022 J jnl
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging.
CoRR
Frederik Pahde, Leander Weber, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
2022 J jnl
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations.
CoRR
Anna Hedström, Leander Weber, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
2022 J jnl
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations.
CoRR
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2020 B conf
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution.
ICPR
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder
2020 J jnl
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution.
CoRR
Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder