Leander Weber - RankMe

23 papers A* 2B 2C 1Journal 17Unranked 1

Year	Rank	Type	Title / 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