Lapuschkin, Sebastian

31 publications

ICLRW 2025 ASIDE: Architectural Separation of Instructions and Data in Language Models Egor Zverev, Evgenii Kortukov, Alexander Panfilov, Soroush Tabesh, Sebastian Lapuschkin, Wojciech Samek, Christoph H. Lampert

TMLR 2025 Efficient and Flexible Neural Network Training Through Layer-Wise Feedback Propagation Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

ICLRW 2025 Efficient and Flexible Neural Network Training Through Layer-Wise Feedback Propagation Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

MLJ 2025 Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek

TMLR 2025 Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions Anna Hedström, Philine Lou Bommer, Thomas F Burns, Sebastian Lapuschkin, Wojciech Samek, Marina MC Höhne

NeurIPS 2025 Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva, Marina MC Höhne, Alexander Warnecke, Lukas Pirch, Klaus Robert Muller, Konrad Rieck, Sebastian Lapuschkin, Kirill Bykov

ICLR 2025 Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde, Maximilian Dreyer, Moritz Weckbecker, Leander Weber, Christopher J. Anders, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

TMLR 2025 Sparse, Efficient and Explainable Data Attribution with DualXDA Galip Ümit Yolcu, Moritz Weckbecker, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

NeurIPS 2025 The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

ICML 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

NeurIPS 2024 CoSy: Evaluating Textual Explanations of Neurons Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina M.-C. Höhne, Kirill Bykov

ICMLW 2024 CoSy: Evaluating Textual Explanations of Neurons Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina MC Höhne, Kirill Bykov

ICMLW 2024 CoSy: Evaluating Textual Explanations of Neurons Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina MC Höhne, Kirill Bykov

AAAI 2024 From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin

NeurIPS 2024 Generative Fractional Diffusion Models Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek

ICMLW 2024 Generative Fractional Diffusion Models Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek

ECCVW 2024 Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

CVPRW 2024 Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin

ECCVW 2024 Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization Rohan Reddy Mekala, Frederik Pahde, Simon Baur, Sneha Chandrashekar, Madeline Diep, Markus Wenzel, Eric L. Wisotzky, Galip Ümit Yolcu, Sebastian Lapuschkin, Jackie Ma, Peter Eisert, Mikael Lindvall, Adam A. Porter, Wojciech Samek

CVPRW 2024 Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-Based Explanations Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin

CVPRW 2023 Optimizing Explanations by Network Canonization and Hyperparameter Search Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin

MLOSS 2023 Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne

CVPRW 2023 Revealing Hidden Context Bias in Segmentation and Object Detection Through Concept-Specific Explanations Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

NeurIPSW 2023 Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina MC Höhne

CVPR 2023 Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

TMLR 2023 The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina MC Höhne

NeurIPSW 2022 Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification Daniel Krakowczyk, David Robert Reich, Paul Prasse, Sebastian Lapuschkin, Lena Ann Jäger, Tobias Scheffer

MLOSS 2019 iNNvestigate Neural Networks! Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans

ICCVW 2017 Understanding and Comparing Deep Neural Networks for Age and Gender Classification Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller

CVPR 2016 Analyzing Classifiers: Fisher Vectors and Deep Neural Networks Sebastian Lapuschkin, Alexander Binder, Gregoire Montavon, Klaus-Robert Muller, Wojciech Samek

JMLR 2016 The LRP Toolbox for Artificial Neural Networks Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek