Wojciech Samek

344 papers A* 9A 4B 20C 6Misc 4Journal 235Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Building Trust in PINNs: Error Estimation through Finite Difference Methods. CoRR Aleksander Krasowski, René P. Klausen, Aycan Celik, Sebastian Lapuschkin, Wojciech Samek, Jonas R. Naujoks
2026	J	`jnl`	Deep learning-based multi project InP wafer simulation towards unsupervised surface defect detection. J. Frankl. Inst. Emílio Dolgener Cantú, Rolf Klemens Wittmann, Oliver Abdeen, Patrick Wagner, Wojciech Samek, Moritz Baier, Sebastian Lapuschkin
2026	J	`jnl`	Democratizing Federated Learning with Blockchain and Multi-Task Peer Prediction. CoRR Leon Witt, Kentaroh Toyoda, Wojciech Samek, Dan Li
2026	J	`jnl`	Structural Compactness as a Complementary Criterion for Explanation Quality. CoRR Mohammad Mahdi Mesgari, Jackie Ma, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
2026	J	`jnl`	Towards Visually Explaining Statistical Tests with Applications in Biomedical Imaging. CoRR Masoumeh Javanbakhat, Piotr Komorowski, Dilyara Bareeva, Wei-Cheng Lai, Wojciech Samek, Christoph Lippert
2026	J	`jnl`	X-SYS: A Reference Architecture for Interactive Explanation Systems. CoRR Tobias Labarta, Nhi Hoang, Maximilian Dreyer, Jim Berend, Oleg Hein, Jackie Ma, Wojciech Samek, Sebastian Lapuschkin
2025	J	`jnl`	A Close Look at Decomposition-based XAI-Methods for Transformer Language Models. CoRR Leila Arras, Bruno Puri, Patrick Kahardipraja, Sebastian Lapuschkin, Wojciech Samek
2025	J	`jnl`	A Privacy Preserving System for Movie Recommendations Using Federated Learning. Trans. Recomm. Syst. David Neumann, Andreas Lutz, Karsten Müller, Wojciech Samek
2025	J	`jnl`	ASIDE: Architectural Separation of Instructions and Data in Language Models. CoRR Egor Zverev, Evgenii Kortukov, Alexander Panfilov, Soroush Tabesh, Alexandra Volkova, Sebastian Lapuschkin, Wojciech Samek, Christoph H. Lampert
2025	J	`jnl`	Atlas-Alignment: Making Interpretability Transferable Across Language Models. CoRR Bruno Puri, Jim Berend, Sebastian Lapuschkin, Wojciech Samek
2025	J	`jnl`	Attribution-Guided Decoding. CoRR Piotr Komorowski, Elena Golimblevskaia, Reduan Achtibat, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2025	J	`jnl`	Attribution-guided Pruning for Compression, Circuit Discovery, and Targeted Correction in LLMs. CoRR Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Patrick Kahardipraja, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025	—	`conf`	Benchmarking Uncertainty and Its Disentanglement in Multi-label Chest X-Ray Classification. UNSURE@MICCAI Simon Baur, Wojciech Samek, Jackie Ma
2025	J	`jnl`	Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification. CoRR Simon Baur, Wojciech Samek, Jackie Ma
2025	J	`jnl`	Circuit Insights: Towards Interpretability Beyond Activations. CoRR Elena Golimblevskaia, Aakriti Jain, Bruno Puri, Ammar Ibrahim, Wojciech Samek, Sebastian Lapuschkin
2025	J	`jnl`	Concept activation vectors: a unifying view and adversarial attacks. CoRR Ekkehard Schnoor, Malik Tiomoko, Jawher Said, Alex Jung, Wojciech Samek
2025	J	`jnl`	Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection. CoRR Emílio Dolgener Cantú, Rolf Klemens Wittmann, Oliver Abdeen, Patrick Wagner, Wojciech Samek, Moritz Baier, Sebastian Lapuschkin
2025	J	`jnl`	Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction. CoRR Daniel Becking, Ingo Friese, Karsten Müller, Thomas Buchholz, Mandy Galkow-Schneider, Wojciech Samek, Detlev Marpe
2025	B	`conf`	Efficient Federated Learning of Mixed-Token Transformers for Cellular Feature Prediction. GLOBECOM Daniel Becking, Jost Arndt, Ingo Friese, Karsten Müller, Jackie Ma, Thomas Buchholz, Mandy Galkow-Schneider, Wojciech Samek, Detlev Marpe
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	J	`jnl`	Ensuring Medical AI Safety: Explainable AI-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data. CoRR Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2025	J	`jnl`	Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data. Mach. Learn. Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2025	J	`jnl`	Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions. Trans. Mach. Learn. Res. Anna Hedström, Philine Lou Bommer, Thomas F. Burns, Sebastian Lapuschkin, Wojciech Samek, Marina M.-C. Höhne
2025	J	`jnl`	Explainable AI reveals Clever Hans effects in unsupervised learning models. Nat. Mac. Intell. Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2025	J	`jnl`	Explaining predictive uncertainty by exposing second-order effects. Pattern Recognit. Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon
2025	—	`conf`	FADE: Why Bad Descriptions Happen to Good Features. ACL (Findings) Bruno Puri, Aakriti Jain, Elena Golimblevskaia, Patrick Kahardipraja, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025	J	`jnl`	FADE: Why Bad Descriptions Happen to Good Features. CoRR Bruno Puri, Aakriti Jain, Elena Golimblevskaia, Patrick Kahardipraja, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025	J	`jnl`	Fractional Diffusion Bridge Models. CoRR Gabriel Nobis, Maximilian Springenberg, Arina Belova, Rembert Daems, Christoph Knochenhauer, Manfred Opper, Tolga Birdal, Wojciech Samek
2025	J	`jnl`	From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance. CoRR Maximilian Dreyer, Lorenz Hufe, Jim Berend, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2025	—	`conf`	Guided Active Learning for Medical Image Segmentation. HAIC@MICCAI Bernhard Föllmer, Vladimir Serafimoski, Kenrick Schulze, Federico Biavati, Sebastian Stober, Wojciech Samek, Marc Dewey
2025	A	`conf`	Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics. CIKM Jaesik Choi, Bohyung Han, Myoung-Wan Koo, Kyungman Bae, Chang D. Yoo, Simon S. Woo, Wojciech Samek
2025	C	`conf`	Inspecting AI Like Engineers: From Explanation to Validation with SemanticLens. ICSOFT Wojciech Samek
2025	J	`jnl`	Iterative Inference in a Chess-Playing Neural Network. CoRR Elias Sandmann, Sebastian Lapuschkin, Wojciech Samek
2025	—	`conf`	Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks. xAI (2) Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Galip Ümit Yolcu, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, René P. Klausen
2025	J	`jnl`	Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks. CoRR Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Galip Ümit Yolcu, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, René P. Klausen
2025	J	`jnl`	LieSolver: A PDE-constrained solver for IBVPs using Lie symmetries. CoRR René P. Klausen, Ivan Timofeev, Johannes Frank, Jonas R. Naujoks, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2025	J	`jnl`	Mechanistic understanding and validation of large AI models with SemanticLens. CoRR Maximilian Dreyer, Jim Berend, Tobias Labarta, Johanna Vielhaben, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2025	A	`conf`	Model Science: Getting Serious About Verification, Explanation and Control of AI Systems. ECAI Przemyslaw Biecek, Wojciech Samek
2025	J	`jnl`	Model Science: getting serious about verification, explanation and control of AI systems. CoRR Przemyslaw Biecek, Wojciech Samek
2025	J	`jnl`	Multimodal Deep Learning for Prediction of Progression-Free Survival in Patients with Neuroendocrine Tumors Undergoing 177Lu-based Peptide Receptor Radionuclide Therapy. CoRR Simon Baur, Tristan Ruhwedel, Ekin Böke, Zuzanna Kobus, Gergana Lishkova, Christoph Wetz, Holger Amthauer, Christoph Roderburg, Frank Tacke, Julian M. Rogasch, Wojciech Samek, Henning Jann, Jackie Ma, Johannes Eschrich
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`	Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations. CoRR Eren Erogullari, Sebastian Lapuschkin, Wojciech Samek, Frederik Pahde
2025	—	`conf`	Post-hoc Concept Disentanglement: From Correlated to Isolated Concept Representations. xAI (1) Eren Erogullari, Sebastian Lapuschkin, Wojciech Samek, Frederik Pahde
2025	J	`jnl`	ReReLRP - Remembering and Recognizing Tasks with LRP. CoRR Karolina Bogacka, Maximilian Andreas Hoefler, Maria Ganzha, Wojciech Samek, Katarzyna Wasielewska-Michniewska
2025	—	`conf`	Relevance-Guided Activation Sparsification for Bandwidth-Efficient Collaborative Inference. ICCVW Maximilian Andreas Hoefler, Daniel Becking, Karsten Müller, Detlev Marpe, Wojciech Samek
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
2025	J	`jnl`	Sparse, Efficient and Explainable Data Attribution with DualXDA. Trans. Mach. Learn. Res. Moritz Weckbecker, Galip Ümit Yolcu, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025	J	`jnl`	Steering CLIP's vision transformer with sparse autoencoders. CoRR Sonia Joseph, Praneet Suresh, Ethan Goldfarb, Lorenz Hufe, Yossi Gandelsman, Robert Graham, Danilo Bzdok, Wojciech Samek, Blake Aaron Richards
2025	J	`jnl`	Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs. CoRR Alexander Panfilov, Evgenii Kortukov, Kristina Nikolic, Matthias Bethge, Sebastian Lapuschkin, Wojciech Samek, Ameya Prabhu, Maksym Andriushchenko, Jonas Geiping
2025	J	`jnl`	Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs. CoRR Jost Arndt, Utku Isil, Michael Detzel, Wojciech Samek, Jackie Ma
2025	J	`jnl`	Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs. J. Data-centric Mach. Learn. Res. Jost Arndt, Utku Isil, Michael Detzel, Wojciech Samek, Jackie Ma
2025	J	`jnl`	The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation. CoRR Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025	J	`jnl`	Towards Mechanistic Defenses Against Typographic Attacks in CLIP. CoRR Lorenz Hufe, Constantin Venhoff, Maximilian Dreyer, Sebastian Lapuschkin, Wojciech Samek
2024	—	`conf`	Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure. MIDL Bernhard Föllmer, Kenrick Schulze, Christian Wald, Sebastian Stober, Wojciech Samek, Marc Dewey
2024	A*	`conf`	AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers. ICML Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2024	J	`jnl`	AttnLRP: Attention-Aware Layer-wise Relevance Propagation for Transformers. CoRR Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2024	J	`jnl`	AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark. J. Frankl. Inst. Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
2024	J	`jnl`	Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers. CoRR Johanna Vielhaben, Dilyara Bareeva, Jim Berend, Wojciech Samek, Nils Strodthoff
2024	J	`jnl`	Blockchain and Artificial Intelligence: Synergies and Conflicts. CoRR Leon Witt, Armando Teles Fortes, Kentaroh Toyoda, Wojciech Samek, Dan Li
2024	B	`conf`	Boosting Federated Learning with Diffusion Models for Non-IID and Imbalanced Data. IEEE Big Data Maximilian Andreas Hoefler, Tatsiana Mazouka, Karsten Mueller, Wojciech Samek
2024	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. J. Data-centric Mach. Learn. Res. Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2024	J	`jnl`	Decentralized and Incentivized Federated Learning: A Blockchain-Enabled Framework Utilising Compressed Soft-Labels and Peer Consistency. IEEE Trans. Serv. Comput. Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Songtao Wang, Wojciech Samek
2024	J	`jnl`	DualView: Data Attribution from the Dual Perspective. CoRR Galip Ümit Yolcu, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2024	J	`jnl`	Explain to Question not to Justify. CoRR Przemyslaw Biecek, Wojciech Samek
2024	J	`jnl`	Explainable AI for time series via Virtual Inspection Layers. Pattern Recognit. Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
2024	J	`jnl`	Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
2024	—	`conf`	Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification. xAI (2) Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
2024	J	`jnl`	Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification. CoRR Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
2024	J	`jnl`	Explaining Predictive Uncertainty by Exposing Second-Order Effects. CoRR Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon
2024	J	`jnl`	From Clustering to Cluster Explanations via Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2024	A*	`conf`	From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space. AAAI Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
2024	A*	`conf`	Generative Fractional Diffusion Models. NeurIPS 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
2024	—	`conf`	Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. xAI (2) Xiaoyan Yu, Jannik Franzen, Wojciech Samek, Marina M.-C. Höhne, Dagmar Kainmueller
2024	J	`jnl`	Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. CoRR Xiaoyan Yu, Jannik Franzen, Wojciech Samek, Marina M.-C. Höhne, Dagmar Kainmueller
2024	J	`jnl`	Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication. IEEE Trans. Multim. Daniel Becking, Karsten Müller, Paul Haase, Heiner Kirchhoffer, Gerhard Tech, Wojciech Samek, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
2024	J	`jnl`	Opportunities and limitations of explaining quantum machine learning. CoRR Elies Gil-Fuster, Jonas R. Naujoks, Grégoire Montavon, Thomas Wiegand, Wojciech Samek, Jens Eisert
2024	J	`jnl`	Optimizing Federated Learning by Entropy-Based Client Selection. CoRR Andreas Lutz, Gabriele Steidl, Karsten Müller, Wojciech Samek
2024	J	`jnl`	PINNfluence: Influence Functions for Physics-Informed Neural Networks. CoRR Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, René P. Klausen
2024	—	`conf`	PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits. XAI4CV Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
2024	J	`jnl`	PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits. CoRR Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
2024	A*	`conf`	Position: Explain to Question not to Justify. ICML Przemyslaw Biecek, Wojciech Samek
2024	J	`jnl`	Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers. CoRR Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2024	—	`conf`	Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers. ECCV Workshops (21) Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2024	J	`jnl`	Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond. CoRR Dilyara Bareeva, Galip Ümit Yolcu, Anna Hedström, Niklas Schmolenski, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2024	—	`conf`	Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression. CVPR Workshops Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin
2024	J	`jnl`	Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression. CoRR Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin
2024	J	`jnl`	Spatial Shortcuts in Graph Neural Controlled Differential Equations. CoRR Michael Detzel, Gabriel Nobis, Jackie Ma, Wojciech Samek
2024	—	`conf`	Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization. ECCV Workshops (20) 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
2024	J	`jnl`	Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization. CoRR 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
2024	J	`jnl`	The Clever Hans Effect in Unsupervised Learning. CoRR Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2024	—	`conf`	Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations. CVPR Workshops Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
2024	—	`conf`	XAI-Guided Insulator Anomaly Detection for Imbalanced Datasets. ECCV Workshops (4) Maximilian Andreas Hoefler, Karsten Müller, Wojciech Samek
2024	J	`jnl`	XAI-guided Insulator Anomaly Detection for Imbalanced Datasets. CoRR Maximilian Andreas Hoefler, Karsten Müller, Wojciech Samek
2023	J	`jnl`	A Privacy Preserving System for Movie Recommendations using Federated Learning. CoRR David Neumann, Andreas Lutz, Karsten Müller, Wojciech Samek
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`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023	J	`jnl`	Data Models for Dataset Drift Controls in Machine Learning With Optical Images. Trans. Mach. Learn. Res. Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti
2023	J	`jnl`	Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2023	J	`jnl`	Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review. IEEE Internet Things J. Leon Witt, Mathis Heyer, Kentaroh Toyoda, Wojciech Samek, Dan Li
2023	A*	`conf`	DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. NeurIPS Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
2023	J	`jnl`	DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. CoRR Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
2023	J	`jnl`	Evaluating deep transfer learning for whole-brain cognitive decoding. J. Frankl. Inst. Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
2023	J	`jnl`	Explainable AI for Time Series via Virtual Inspection Layers. CoRR Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
2023	J	`jnl`	Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
2023	J	`jnl`	FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
2023	J	`jnl`	From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space. CoRR Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
2023	J	`jnl`	From attribution maps to human-understandable explanations through Concept Relevance Propagation. Nat. Mac. Intell. Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2023	J	`jnl`	Generative Fractional Diffusion Models. CoRR Gabriel Nobis, Marco Aversa, Maximilian Springenberg, Michael Detzel, Stefano Ermon, Shinichi Nakajima, Roderick Murray-Smith, Sebastian Lapuschkin, Christoph Knochenhauer, Luis Oala, Wojciech Samek
2023	—	`conf`	Human-Centered Evaluation of XAI Methods. ICDM (Workshops) Karam Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse
2023	J	`jnl`	Human-Centered Evaluation of XAI Methods. CoRR Karam Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse
2023	J	`jnl`	Langevin Cooling for Unsupervised Domain Translation. IEEE Trans. Neural Networks Learn. Syst. Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2023	J	`jnl`	Layer-wise Feedback Propagation. CoRR Leander Weber, Jim Berend, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2023	—	`conf`	Optimizing Explanations by Network Canonization and Hyperparameter Search. CVPR Workshops Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, 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	—	`conf`	Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. MICCAI (2) Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin
2023	J	`jnl`	Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. CoRR Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin
2023	—	`conf`	Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations. CVPR Workshops Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
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
2023	J	`jnl`	The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. CoRR Anna Hedström, Philine Lou Bommer, Kristoffer K. Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
2023	J	`jnl`	The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. Trans. Mach. Learn. Res. Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
2023	J	`jnl`	Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations. CoRR Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
2023	C	`conf`	XAI-based Comparison of Audio Event Classifiers with different Input Representations. CBMI Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
2023	J	`jnl`	XAI-based Comparison of Input Representations for Audio Event Classification. CoRR Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
2022	—	`conf`	Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. CVPR Workshops Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, Wojciech Samek
2022	J	`jnl`	Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. CoRR Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, 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	J	`jnl`	CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding. IEEE Trans. Netw. Sci. Eng. Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek
2022	J	`jnl`	CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations. Inf. Fusion Leila Arras, Ahmed Osman, Wojciech Samek
2022	J	`jnl`	Data Models for Dataset Drift Controls in Machine Learning With Images. CoRR Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti
2022	J	`jnl`	Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review. CoRR Leon Witt, Mathis Heyer, Kentaroh Toyoda, Wojciech Samek, Dan Li
2022	—	`conf`	Deep Learning for Whole-Brain Cognitive Decoding. BCI Klaus-Robert Müller, Armin W. Thomas, Wojciech Samek
2022	J	`jnl`	Explain and improve: LRP-inference fine-tuning for image captioning models. Inf. Fusion Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
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`	Explaining Machine Learning Models for Clinical Gait Analysis. ACM Trans. Comput. Heal. Djordje Slijepcevic, Fabian Horst, Sebastian Lapuschkin, Brian Horsak, Anna-Maria Raberger, Andreas Kranzl, Wojciech Samek, Christian Breiteneder, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer
2022	J	`jnl`	Explaining automated gender classification of human gait. CoRR Fabian Horst, Djordje Slijepcevic, Matthias Zeppelzauer, Anna-Maria Raberger, Sebastian Lapuschkin, Wojciech Samek, Wolfgang Immanuel Schöllhorn, Christian Breiteneder, Brian Horsak
2022	J	`jnl`	Explaining machine learning models for age classification in human gait analysis. CoRR Djordje Slijepcevic, Fabian Horst, Marvin Simak, Sebastian Lapuschkin, Anna-Maria Raberger, Wojciech Samek, Christian Breiteneder, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer, Brian Horsak
2022	—	`conf`	FedAUXfdp: Differentially Private One-Shot Federated Distillation. FL@IJCAI Haley Hoech, Roman Rischke, Karsten Müller, Wojciech Samek
2022	J	`jnl`	FedAUXfdp: Differentially Private One-Shot Federated Distillation. CoRR Haley Hoech, Roman Rischke, Karsten Müller, Wojciech Samek
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	J	`jnl`	From "Where" to "What": Towards Human-Understandable Explanations through Concept Relevance Propagation. CoRR Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2022	B	`conf`	History Dependent Significance Coding for Incremental Neural Network Compression. ICIP Gerhard Tech, Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Jonathan Pfaff, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand
2022	J	`jnl`	Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez
2022	J	`jnl`	Optimizing Explanations by Network Canonization and Hyperparameter Search. CoRR Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
2022	J	`jnl`	Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Trans. Circuits Syst. Video Technol. Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer
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`	Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations. CoRR Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
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
2022	J	`jnl`	Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. IEEE Signal Process. Mag. Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2022	J	`jnl`	Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage Simon M. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, Anja Veronica Witte
2022	—	`ed.`	xxAI - Beyond Explainable AI - International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers xxAI@ICML Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
2021	J	`jnl`	Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints. IEEE Trans. Neural Networks Learn. Syst. Felix Sattler, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. IEEE J. Biomed. Health Informatics Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
2021	J	`jnl`	Detecting failure modes in image reconstructions with interval neural network uncertainty. Int. J. Comput. Assist. Radiol. Surg. Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Gitta Kutyniok, Wojciech Samek
2021	J	`jnl`	ECQ CoRR Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller, Sebastian Lapuschkin
2021	B	`conf`	Encoder Optimizations For The NNR Standard On Neural Network Compression. ICIP Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand
2021	J	`jnl`	Evaluating deep transfer learning for whole-brain cognitive decoding. CoRR Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
2021	J	`jnl`	Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications. Proc. IEEE Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller
2021	J	`jnl`	FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4Bit-Compact Multilayer Perceptrons. IEEE Open J. Circuits Syst. Simon Wiedemann, Suhas Shivapakash, Daniel Becking, Pablo Wiedemann, Wojciech Samek, Friedel Gerfers, Thomas Wiegand
2021	J	`jnl`	FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. CoRR Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
2021	—	`conf`	Interval Neural Networks as Instability Detectors for Image Reconstructions. Bildverarbeitung für die Medizin Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek
2021	J	`jnl`	Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat D. Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand
2021	J	`jnl`	On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	Reward-Based 1-bit Compressed Federated Distillation on Blockchain. CoRR Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Wojciech Samek
2021	J	`jnl`	Robustifying models against adversarial attacks by Langevin dynamics. Neural Networks Vignesh Srinivasan, Csaba Rohrer, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2021	J	`jnl`	Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy. CoRR Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
2021	J	`jnl`	Toward Explainable AI for Regression Models. CoRR Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2020	J	`jnl`	A Unifying Review of Deep and Shallow Anomaly Detection. CoRR Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
2020	J	`jnl`	Accurate and robust neural networks for face morphing attack detection. J. Inf. Secur. Appl. Clemens Seibold, Wojciech Samek, Anna Hilsmann, Peter Eisert
2020	A*	`conf`	Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. AAAI Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2020	J	`jnl`	Communication-Efficient Federated Distillation. CoRR Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek
2020	J	`jnl`	Compact and Computationally Efficient Representation of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2020	J	`jnl`	Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. CoRR Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
2020	J	`jnl`	DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. IEEE J. Sel. Top. Signal Process. Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek
2020	B	`conf`	Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates. ICIP David Neumann, Felix Sattler, Heiner Kirchhoffer, Simon Wiedemann, Karsten Müller, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek
2020	B	`conf`	Dependent Scalar Quantization For Neural Network Compression. ICIP Paul Haase, Heiko Schwarz, Heiner Kirchhoffer, Simon Wiedemann, Talmaj Marinc, Arturo Marbán, Karsten Müller, Wojciech Samek, Detlev Marpe, Thomas Wiegand
2020	—	`conf`	Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. CVPR Workshops Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek
2020	J	`jnl`	Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. CoRR Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek
2020	—	`conf`	ECQ xxAI@ICML Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller, Sebastian Lapuschkin
2020	—	`conf`	Explainable AI Methods - A Brief Overview. xxAI@ICML Andreas Holzinger, Anna Saranti, Christoph Molnar, Przemyslaw Biecek, Wojciech Samek
2020	—	`conf`	Explaining the Predictions of Unsupervised Learning Models. xxAI@ICML Grégoire Montavon, Jacob R. Kauffmann, Wojciech Samek, Klaus-Robert Müller
2020	B	`conf`	Explanation-Guided Training for Cross-Domain Few-Shot Classification. ICPR Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
2020	J	`jnl`	Explanation-Guided Training for Cross-Domain Few-Shot Classification. CoRR Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
2020	J	`jnl`	FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons. CoRR Simon Wiedemann, Suhas Shivapakash, Pablo Wiedemann, Daniel Becking, Wojciech Samek, Friedel Gerfers, Thomas Wiegand
2020	J	`jnl`	Interval Neural Networks as Instability Detectors for Image Reconstructions. CoRR Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek
2020	J	`jnl`	Interval Neural Networks: Uncertainty Scores. CoRR Luis Oala, Cosmas Heiss, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok
2020	J	`jnl`	Langevin Cooling for Domain Translation. CoRR Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2020	—	`conf`	Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). CVPR Workshops Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek
2020	J	`jnl`	Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). CoRR Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek
2020	J	`jnl`	Learning with explainable trees. Nat. Mach. Intell. Wojciech Samek
2020	J	`jnl`	MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello
2020	Misc	`conf`	On the Byzantine Robustness of Clustered Federated Learning. ICASSP Felix Sattler, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2020	J	`jnl`	Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements. CoRR Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
2020	J	`jnl`	Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. npj Digit. Medicine Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
2020	J	`jnl`	Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data. IEEE Trans. Neural Networks Learn. Syst. Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2020	J	`jnl`	Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Soeren Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger
2020	J	`jnl`	Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond. CoRR Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller
2020	B	`conf`	Towards Best Practice in Explaining Neural Network Decisions with LRP. IJCNN Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
2020	J	`jnl`	Towards Ground Truth Evaluation of Visual Explanations. CoRR Ahmed Osman, Leila Arras, Wojciech Samek
2020	J	`jnl`	Trends and Advancements in Deep Neural Network Communication. CoRR Felix Sattler, Thomas Wiegand, Wojciech Samek
2020	J	`jnl`	UDSMProt: universal deep sequence models for protein classification. Bioinform. Nils Strodthoff, Patrick Wagner, Markus Wenzel, Wojciech Samek
2020	J	`jnl`	USMPep: universal sequence models for major histocompatibility complex binding affinity prediction. BMC Bioinform. Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff
2020	J	`jnl`	Understanding Image Captioning Models beyond Visualizing Attention. CoRR Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
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
2020	—	`conf`	xxAI - Beyond Explainable Artificial Intelligence. xxAI@ICML Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery. Biomed. Signal Process. Control. Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
2019	—	`conf`	Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. GCPR Jan Laermann, Wojciech Samek, Nils Strodthoff
2019	J	`jnl`	Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. CoRR Jan Laermann, Wojciech Samek, Nils Strodthoff
2019	J	`jnl`	Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed. CoRR Christopher J. Anders, Talmaj Marinc, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
2019	J	`jnl`	Asymptotically Unbiased Generative Neural Sampling. CoRR Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel
2019	—	`conf`	Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. EUSIPCO Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2019	J	`jnl`	Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. CoRR Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2019	J	`jnl`	Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints. CoRR Felix Sattler, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. CoRR Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima
2019	J	`jnl`	DRAU: Dual Recurrent Attention Units for Visual Question Answering. Comput. Vis. Image Underst. Ahmed Osman, Wojciech Samek
2019	J	`jnl`	Deep Transfer Learning For Whole-Brain fMRI Analyses. CoRR Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
2019	—	`conf`	Deep Transfer Learning for Whole-Brain FMRI Analyses. OR/MLCN@MICCAI Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. CoRR Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek
2019	J	`jnl`	DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression. CoRR Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek
2019	J	`jnl`	Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. IEEE J. Sel. Areas Commun. Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek
2019	B	`conf`	Entropy-Constrained Training of Deep Neural Networks. IJCNN Simon Wiedemann, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network. Digit. Signal Process. Sebastian Bosse, Sören Becker, Klaus-Robert Müller, Wojciech Samek, Thomas Wiegand
2019	—	`conf`	Evaluating Recurrent Neural Network Explanations. BlackboxNLP@ACL Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Evaluating Recurrent Neural Network Explanations. CoRR Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
2019	—	`book`	Explainable AI: Interpreting, Explaining and Visualizing Deep Learning Explainable AI Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller
2019	J	`jnl`	Explaining and Interpreting LSTMs. CoRR Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
2019	—	`ch.`	Explaining and Interpreting LSTMs. Explainable AI Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
2019	J	`jnl`	From Clustering to Cluster Explanations via Neural Networks. CoRR Jacob R. Kauffmann, Malte Esders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2019	J	`jnl`	Information Theory Applications in Signal Processing. Entropy Sergio Cruces, Rubén Martín-Clemente, Wojciech Samek
2019	—	`ch.`	Layer-Wise Relevance Propagation: An Overview. Explainable AI Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller
2019	B	`conf`	Multi-Kernel Prediction Networks for Denoising of Burst Images. ICIP Talmaj Marinc, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, Wojciech Samek
2019	J	`jnl`	Multi-Kernel Prediction Networks for Denoising of Burst Images. CoRR Talmaj Marinc, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, Wojciech Samek
2019	J	`jnl`	On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. CoRR Fabian Horst, Djordje Slijepcevic, Sebastian Lapuschkin, Anna-Maria Raberger, Matthias Zeppelzauer, Wojciech Samek, Christian Breiteneder, Wolfgang Immanuel Schöllhorn, Brian Horsak
2019	J	`jnl`	Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning. CoRR Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Quality perception of advanced multimedia systems. Digit. Signal Process. Guangtao Zhai, Ke Gu, Jiheng Wang, Wojciech Samek
2019	J	`jnl`	Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. CoRR Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder
2019	J	`jnl`	Robust and Communication-Efficient Federated Learning from Non-IID Data. CoRR Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2019	—	`conf`	Rotation Invariant Clustering of 3D Cell Nuclei Shapes. EMBC Patrick Wagner, Jakob Paul Morath, Arturo Zychlinsky, Klaus-Robert Müller, Wojciech Samek
2019	B	`conf`	Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. IJCNN Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Towards Explainable Artificial Intelligence. CoRR Wojciech Samek, Klaus-Robert Müller
2019	—	`ch.`	Towards Explainable Artificial Intelligence. Explainable AI Wojciech Samek, Klaus-Robert Müller
2019	J	`jnl`	Towards best practice in explaining neural network decisions with LRP. CoRR Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
2019	—	`ch.`	Understanding Patch-Based Learning of Video Data by Explaining Predictions. Explainable AI Christopher J. Anders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2019	J	`jnl`	Unmasking Clever Hans Predictors and Assessing What Machines Really Learn. CoRR Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2019	—	`conf`	Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning. AIVR Johanna Vielhaben, Hüseyin Camalan, Wojciech Samek, Markus Wenzel
2019	J	`jnl`	iNNvestigate Neural Networks! J. Mach. Learn. Res. Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
2018	J	`jnl`	A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery. CoRR Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
2018	J	`jnl`	Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks. CoRR Clemens Seibold, Wojciech Samek, Anna Hilsmann, Peter Eisert
2018	J	`jnl`	Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition. IEEE Trans. Circuits Syst. Video Technol. Sebastian Bosse, Laura Acqualagna, Wojciech Samek, Anne K. Porbadnigk, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller, Thomas Wiegand
2018	J	`jnl`	Compact and Computationally Efficient Representation of Deep Neural Networks. CoRR Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2018	J	`jnl`	Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder. CoRR Vignesh Srinivasan, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2018	J	`jnl`	Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment. IEEE Trans. Image Process. Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2018	J	`jnl`	Dual Recurrent Attention Units for Visual Question Answering. CoRR Ahmed Osman, Wojciech Samek
2018	J	`jnl`	Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. CoRR Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek
2018	J	`jnl`	Entropy-Constrained Training of Deep Neural Networks. CoRR Simon Wiedemann, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek
2018	A	`conf`	Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model. IROS Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
2018	J	`jnl`	Interpretable LSTMs For Whole-Brain Neuroimaging Analyses. CoRR Armin W. Thomas, Hauke R. Heekeren, Klaus-Robert Müller, Wojciech Samek
2018	J	`jnl`	Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals. CoRR Sören Becker, Marcel Ackermann, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek
2018	J	`jnl`	Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. CoRR Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan
2018	J	`jnl`	Localizing bicoherence from EEG and MEG. NeuroImage Forooz Shahbazi Avarvand, Sarah Bartz, Christina Andreou, Wojciech Samek, Gregor Leicht, Christoph Mulert, Andreas K. Engel, Guido Nolte
2018	—	`conf`	Machine Learning for Early HARQ Feedback Prediction in 5G. GLOBECOM Workshops Nils Strodthoff, Baris Göktepe, Thomas Schierl, Wojciech Samek, Cornelius Hellge
2018	J	`jnl`	Methods for interpreting and understanding deep neural networks. Digit. Signal Process. Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2018	B	`conf`	Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction. ICIP Sebastian Bosse, Sören Becker, Zacharias V. Fisches, Wojciech Samek, Thomas Wiegand
2018	B	`conf`	On the Stimulation Frequency in SSVEP-based Image Quality Assessment. QoMEX Sebastian Bosse, Milena T. Bagdasarian, Wojciech Samek, Gabriel Curio, Thomas Wiegand
2018	J	`jnl`	Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. CoRR Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2018	Misc	`conf`	Transferring Information Between Neural Networks. ICASSP Christopher Ehmann, Wojciech Samek
2018	J	`jnl`	Understanding Patch-Based Learning by Explaining Predictions. CoRR Christopher J. Anders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2018	J	`jnl`	Wasserstein Stationary Subspace Analysis. IEEE J. Sel. Top. Signal Process. Stephan Kaltenstadler, Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek
2018	J	`jnl`	What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis. CoRR Fabian Horst, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller, Wolfgang Immanuel Schöllhorn
2018	J	`jnl`	iNNvestigate neural networks! CoRR Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
2017	B	`conf`	A perceptually relevant shearlet-based adaptation of the PSNR. ICIP Sebastian Bosse, Mischa Siekmann, Wojciech Samek, Thomas Wiegand
2017	C	`conf`	Detection of Face Morphing Attacks by Deep Learning. IWDW Clemens Seibold, Wojciech Samek, Anna Hilsmann, Peter Eisert
2017	J	`jnl`	Discovering topics in text datasets by visualizing relevant words. CoRR Franziska Horn, Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2017	—	`conf`	Estimating Position & Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network. ICCV Workshops Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
2017	J	`jnl`	Evaluating the Visualization of What a Deep Neural Network Has Learned. IEEE Trans. Neural Networks Learn. Syst. Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller
2017	J	`jnl`	Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models. CoRR Wojciech Samek, Thomas Wiegand, Klaus-Robert Müller
2017	—	`conf`	Explaining Recurrent Neural Network Predictions in Sentiment Analysis. WASSA@EMNLP Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2017	J	`jnl`	Explaining Recurrent Neural Network Predictions in Sentiment Analysis. CoRR Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2017	J	`jnl`	Explaining nonlinear classification decisions with deep Taylor decomposition. Pattern Recognit. Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek, Klaus-Robert Müller
2017	J	`jnl`	Exploring text datasets by visualizing relevant words. CoRR Franziska Horn, Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2017	Misc	`conf`	Interpretable human action recognition in compressed domain. ICASSP Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Klaus-Robert Müller, Wojciech Samek
2017	—	`conf`	Measuring the Quality of 3D Visualizations using EEG: a Time-frequency Approach. GBCIC Forooz Shahbazi Avarvand, Sebastian Bosse, Guido Nolte, Thomas Wiegand, Wojciech Samek
2017	J	`jnl`	Methods for Interpreting and Understanding Deep Neural Networks. CoRR Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2017	—	`conf`	Object Boundary Detection and Classification with Image-Level Labels. GCPR Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
2017	—	`conf`	Quality assessment of 3D visualizations with vertical disparity: An ERP approach. EMBC Forooz Shahbazi Avarvand, Sebastian Bosse, Guido Nolte, Thomas Wiegand, Wojciech Samek
2017	J	`jnl`	The Convergence of Machine Learning and Communications. CoRR Wojciech Samek, Slawomir Stanczak, Thomas Wiegand
2017	—	`conf`	Understanding and Comparing Deep Neural Networks for Age and Gender Classification. ICCV Workshops Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller
2017	J	`jnl`	Understanding and Comparing Deep Neural Networks for Age and Gender Classification. CoRR Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach. CoRR Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	B	`conf`	A deep neural network for image quality assessment. ICIP Sebastian Bosse, Dominique Maniry, Thomas Wiegand, Wojciech Samek
2016	B	`conf`	Alternative CSP approaches for multimodal distributed BCI data. SMC Stephanie Brandl, Klaus-Robert Müller, Wojciech Samek
2016	A*	`conf`	Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. CVPR Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	B	`conf`	Brain-Computer Interfacing for multimedia quality assessment. SMC Sebastian Bosse, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2016	J	`jnl`	Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth. CoRR Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2016	B	`conf`	Controlling explanatory heatmap resolution and semantics via decomposition depth. ICIP Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment. CoRR Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2016	—	`conf`	Explaining Predictions of Non-Linear Classifiers in NLP. Rep4NLP@ACL Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Explaining Predictions of Non-Linear Classifiers in NLP. CoRR Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	C	`conf`	Hybrid video object tracking in H.265/HEVC video streams. MMSP Serhan Gul, Jan Timo Meyer, Cornelius Hellge, Thomas Schierl, Wojciech Samek
2016	—	`conf`	Identifying Individual Facial Expressions by Deconstructing a Neural Network. GCPR Farhad Arbabzadah, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Identifying individual facial expressions by deconstructing a neural network. CoRR Farhad Arbabzadah, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Interpretable Deep Neural Networks for Single-Trial EEG Classification. CoRR Irene Sturm, Sebastian Bach, Wojciech Samek, Klaus-Robert Müller
2016	J	`jnl`	Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation. CoRR Wojciech Samek, Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller
2016	—	`conf`	Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. ICANN (2) Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers. CoRR Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Multiscale temporal neural dynamics predict performance in a complex sensorimotor task. NeuroImage Wojciech Samek, Duncan A. J. Blythe, Gabriel Curio, Klaus-Robert Müller, Benjamin Blankertz, Vadim V. Nikulin
2016	C	`conf`	Neural network-based full-reference image quality assessment. PCS Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2016	J	`jnl`	On robust spatial filtering of EEG in nonstationary environments. it Inf. Technol. Wojciech Samek
2016	—	`conf`	On the robustness of action recognition methods in compressed and pixel domain. EUVIP Vignesh Srinivasan, Serhan Gul, Sebastian Bosse, Jan Timo Meyer, Thomas Schierl, Cornelius Hellge, Wojciech Samek
2016	A	`conf`	Quality assessment of image patches distorted by image compression using crowdsourcing. ICME Sebastian Bosse, Mischa Siekmann, Jennifer Rasch, Thomas Wiegand, Wojciech Samek
2016	J	`jnl`	Sharing Hash Codes for Multiple Purposes. CoRR Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima
2016	B	`conf`	Shearlet-based reduced reference image quality assessment. ICIP Sebastian Bosse, Qiaobo Chen, Mischa Siekmann, Wojciech Samek, Thomas Wiegand
2016	J	`jnl`	The LRP Toolbox for Artificial Neural Networks. J. Mach. Learn. Res. Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get? CoRR Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
2015	J	`jnl`	Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. CoRR Sebastian Bach, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2015	—	`conf`	Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment. NER Stephanie Brandl, Johannes Höhne, Klaus-Robert Müller, Wojciech Samek
2015	J	`jnl`	Evaluating the visualization of what a Deep Neural Network has learned. CoRR Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller
2015	J	`jnl`	Explaining NonLinear Classification Decisions with Deep Taylor Decomposition. CoRR Grégoire Montavon, Sebastian Bach, Alexander Binder, Wojciech Samek, Klaus-Robert Müller
2015	—	`conf`	Investigating effects of different artefact types on motor imagery BCI. EMBC Laura Frølich, Irene Winkler, Klaus-Robert Müller, Wojciech Samek
2015	J	`jnl`	Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces. Proc. IEEE Siamac Fazli, Sven Dähne, Wojciech Samek, Felix Bießmann, Klaus-Robert Müller
2015	J	`jnl`	Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. Proc. IEEE Sven Dähne, Felix Bießmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Müller
2015	—	`conf`	Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence. BCI Stephanie Brandl, Klaus-Robert Müller, Wojciech Samek
2015	—	`conf`	Tackling noise, artifacts and nonstationarity in BCI with robust divergences. EUSIPCO Wojciech Samek, Klaus-Robert Müller
2014	—	`conf`	Information geometry meets BCI spatial filtering using divergences. BCI Wojciech Samek, Klaus-Robert Müller
2014	—	`ch.`	Machine Learning for Visual Concept Recognition and Ranking for Images. Towards the Internet of Services Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
2014	—	`—`	On robust spatial filtering of EEG in nonstationary environments. Wojciech Samek
2014	J	`jnl`	Robust Common Spatial Filters with a Maxmin Approach. Neural Comput. Motoaki Kawanabe, Wojciech Samek, Klaus-Robert Müller, Carmen Vidaurre
2014	Misc	`conf`	Robust common spatial patterns by minimum divergence covariance estimator. ICASSP Wojciech Samek, Motoaki Kawanabe
2014	—	`ch.`	Über die robuste räumliche Filterung von EEG in nichtstationären Umgebungen. Ausgezeichnete Informatikdissertationen Wojciech Samek
2013	J	`jnl`	Enhanced representation and multi-task learning for image annotation. Comput. Vis. Image Underst. Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
2013	—	`conf`	Multiple Kernel Learning for Brain-Computer Interfacing. EMBC Wojciech Samek, Alexander Binder, Klaus-Robert Müller
2013	—	`conf`	Robust Spatial Filtering with Beta Divergence. NIPS Wojciech Samek, Duncan A. J. Blythe, Klaus-Robert Müller, Motoaki Kawanabe
2013	J	`jnl`	Transferring Subspaces Between Subjects in Brain-Computer Interfacing. IEEE Trans. Biomed. Eng. Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller
2012	—	`conf`	Brain-computer interfacing in discriminative and stationary subspaces. EMBC Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe, Carmen Vidaurre
2012	J	`jnl`	Transferring Subspaces Between Subjects in Brain-Computer Interfacing CoRR Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller
2011	—	`conf`	An Information Geometrical View of Stationary Subspace Analysis. ICANN (2) Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank C. Meinecke
2011	J	`jnl`	Insights from Classifying Visual Concepts with Multiple Kernel Learning CoRR Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
2011	—	`conf`	Multi-task Learning via Non-sparse Multiple Kernel Learning. CAIP (1) Wojciech Samek, Alexander Binder, Motoaki Kawanabe
2011	—	`conf`	The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task. CLEF (Notebook Papers/Labs/Workshop) Alexander Binder, Wojciech Samek, Marius Kloft, Christina Müller, Klaus-Robert Müller, Motoaki Kawanabe