Wojciech Samek
- Methods for Interpreting and Understanding Deep Neural Networks
2017/06/24 by Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller +1 · 1 voice · 75 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Neural Networks and Applications #cs.LG #stat.ML
- A Unifying Review of Deep and Shallow Anomaly Detection
2021/02/05 by Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen +5 · 71 citations
Computer Science · #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #Imbalanced Data Classification Techniques
- Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
2017/08/28 by Wojciech Samek, Thomas Wiegand, Samek, Wojciech +3 · 1 voice · 18 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.CY #cs.NE #stat.ML
- Evaluating the visualization of what a Deep Neural Network has learned
2015/09/21 by Wojciech Samek, Samek, Wojciech, Alexander Binder +7 · 27 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification
- Layer-wise Relevance Propagation for Neural Networks with Local\n Renormalization Layers
2016/04/04 by Alexander Binder, Grégoire Montavon, Binder, Alexander +7 · 24 citations
Computer Science · #Advanced Neural Network Applications #Medical Image Segmentation Techniques #Domain Adaptation and Few-Shot Learning
- Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
2017/10/10 by Sebastian Bosse, Dominique Maniry, Klaus-Robert Muller +2 · 19 citations
Computer Science · #Advanced Image Processing Techniques #Image Enhancement Techniques #Image and Video Quality Assessment
- AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
2024/02/08 by Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Achtibat, Reduan +11 · 22 citations
Engineering · Materials Science · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Software for Dataset-wide XAI: From Local Explanations to Global\n Insights with Zennit, CoRelAy, and ViRelAy
2021/06/24 by Christopher J. Anders, David Neumann, Anders, Christopher J. +7 · 10 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Adversarial Robustness in Machine Learning
- From attribution maps to human-understandable explanations through Concept Relevance Propagation
2023/09/20 by Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun +4 · 1 voice · 12 citations
Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Machine Learning in Materials Science
- iNNvestigate neural networks!
2018/08/13 by Maximilian Alber, Alber, Maximilian, Sebastian Lapuschkin +17 · 6 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning
- PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits
2024/04/09 by Maximilian Dreyer, Dreyer, Maximilian, Erblina Purelku +7 · 7 citations
Computer Science · #Neural Networks and Applications
- DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
2023/06/23 by Marco Aversa, Aversa, Marco, Gabriel Nobis +23 · 5 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #AI in cancer detection #Generative Adversarial Networks and Image Synthesis #Cell Image Analysis Techniques
- Communication-Efficient Federated Distillation
2020/12/01 by Felix Sattler, Sattler, Felix, Arturo Marbán +5 · 4 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation
2016/11/24 by Wojciech Samek, Grégoire Montavon, Samek, Wojciech +7 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
- Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models
2020/01/04 by Jiamei Sun, Sebastian Lapuschkin, Sun, Jiamei +5 · 2 citations
Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
2022/11/22 by Alexander Binder, Binder, Alexander, Leander Weber +9 · 3 citations
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
- Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
2023/11/28 by Maximilian Dreyer, Dreyer, Maximilian, Reduan Achtibat +5 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
- Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers
2024/08/22 by Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Hatefi, Sayed Mohammad Vakilzadeh +9 · 4 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
2022/11/21 by Maximilian Dreyer, Reduan Achtibat, Dreyer, Maximilian +7 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Interpretable deep neural networks for single-trial EEG classification
2016/10/16 by Irene Sturm, Sebastian Lapuschkin, Wojciech Samek +2 · 1 citation
Neuroscience · #EEG and Brain-Computer Interfaces #Functional Brain Connectivity Studies #Neural dynamics and brain function
- The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
2025/05/21 by Patrick Kahardipraja, Reduan Achtibat, Kahardipraja, Patrick +7 · 2 voices · 3 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Visual Attention and Saliency Detection
- Opportunities and limitations of explaining quantum machine learning
2024/12/19 by Elies Gil-Fuster, Jonas R. Naujoks, Gil-Fuster, Elies +9 · 2 citations
Materials Science · #Machine Learning in Materials Science
- Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
2024/04/15 by Dilyara Bareeva, Bareeva, Dilyara, Maximilian Dreyer +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond
2024/10/09 by Dilyara Bareeva, Bareeva, Dilyara, Galip Ümit Yolcu +11 · 1 citation
Decision Sciences · Computer Science · #Data Quality and Management #Natural Language Processing Techniques
- Robustifying Models Against Adversarial Attacks by Langevin Dynamics
2018/05/30 by Vignesh Srinivasan, Arturo Marbán, Srinivasan, Vignesh +7 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimizing Federated Learning by Entropy-Based Client Selection
2024/11/02 by Andreas Lutz, Lutz, Andreas, Gabriele Steidl +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Data Security #Distributed #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
- Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
2025/09/22 by Panfilov, Alexander, Evgenii Kortukov, Kristina Nikolić +14 · 1 citation
Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
- A Close Look at Decomposition-based XAI-Methods for Transformer Language Models
2025/02/21 by Leila Arras, Arras, Leila, Bruno Puri +7 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling