Wojciech Samek
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
67
Venues
28
Active years
2011–2026
Best venue rank
A*
Where they publish
- BICIP10 papers
- A*CVPR9 papers
- A*ICML6 papers
- AMICCAI4 papers
- MulticonferenceICASSP4 papers
- A*ECCV3 papers
- BIJCNN3 papers
- A*ACL2 papers
- BGLOBECOM2 papers
- A*ICCV2 papers
- A*AAAI2 papers
- BICPR2 papers
- CICANN2 papers
- BSMC2 papers
- AWACV1 paper
- ACIKM1 paper
- AECAI1 paper
- A*ICLR1 paper
- CICSoft1 paper
- CCBMI1 paper
- A*ICDM1 paper
- A*IJCAI1 paper
- AIROS1 paper
- BQoMEX1 paper
- CIWDW1 paper
- CMMSP1 paper
- CPCS1 paper
- CCAIP1 paper
Papers
67 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | From Weights to Activations: Is Steering the Next Frontier of Adaptation? | Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, Michael A. Hedderich, Sebastian Lapuschkin, Wojciech Samek, Vera Schmitt |
| 2026 | WACV | Leveraging Sparsity for Privacy in Collaborative Inference. | Maximilian Andreas Hoefler, Karsten Mller, Wojciech Samek |
| 2025 | ACL | FADE: Why Bad Descriptions Happen to Good Features. | Bruno Puri, Aakriti Jain, Elena Golimblevskaia, Patrick Kahardipraja, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin |
| 2025 | CIKM | Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics. | Jaesik Choi, Bohyung Han, Myoung-Wan Koo, Kyungman Bae, Chang D. Yoo, Simon S. Woo, Wojciech Samek |
| 2025 | ECAI | Model Science: Getting Serious About Verification, Explanation and Control of AI Systems. | Przemyslaw Biecek, Wojciech Samek |
| 2025 | GLOBECOM | Efficient Federated Learning of Mixed-Token Transformers for Cellular Feature Prediction. | Daniel Becking, Jost Arndt, Ingo Friese, Karsten Mller, Jackie Ma, Thomas Buchholz, Mandy Galkow-Schneider, Wojciech Samek, Detlev Marpe |
| 2025 | ICCV | Relevance-Guided Activation Sparsification for Bandwidth-Efficient Collaborative Inference. | Maximilian Andreas Hoefler, Daniel Becking, Karsten Mller, Detlev Marpe, Wojciech Samek |
| 2025 | ICCV | FedXDS: Leveraging Model Attribution Methods to Counteract Data Heterogeneity in Federated Learning. | Maximilian Andreas Hoefler, Karsten Mller, Wojciech Samek |
| 2025 | ICLR | 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 |
| 2025 | ICSoft | Inspecting AI Like Engineers: From Explanation to Validation with SemanticLens. | Wojciech Samek |
| 2025 | MICCAI | Benchmarking Uncertainty and Its Disentanglement in Multi-label Chest X-Ray Classification. | Simon Baur, Wojciech Samek, Jackie Ma |
| 2025 | MICCAI | Guided Active Learning for Medical Image Segmentation. | Bernhard Fllmer, Vladimir Serafimoski, Kenrick Schulze, Federico Biavati, Sebastian Stober, Wojciech Samek, Marc Dewey |
| 2024 | AAAI | 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 |
| 2024 | CVPR | Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression. | Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin |
| 2024 | CVPR | Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations. | Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin |
| 2024 | ECCV | 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 |
| 2024 | ECCV | XAI-Guided Insulator Anomaly Detection for Imbalanced Datasets. | Maximilian Andreas Hoefler, Karsten Mller, Wojciech Samek |
| 2024 | ECCV | 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 mit Yolcu, Sebastian Lapuschkin, Jackie Ma, Peter Eisert, Mikael Lindvall, Adam A. Porter, Wojciech Samek |
| 2024 | ICML | 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 |
| 2024 | ICML | Position: Explain to Question not to Justify. | Przemyslaw Biecek, Wojciech Samek |
| 2023 | CBMI | XAI-based Comparison of Audio Event Classifiers with different Input Representations. | Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben |
| 2023 | CVPR | Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. | Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grgoire Montavon, Klaus-Robert Mller, Wojciech Samek |
| 2023 | CVPR | Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations. | Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin |
| 2023 | CVPR | Optimizing Explanations by Network Canonization and Hyperparameter Search. | Frederik Pahde, Galip mit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin |
| 2023 | ICDM | Human-Centered Evaluation of XAI Methods. | Karam Tomotaki-Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse |
| 2023 | MICCAI | Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. | Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin |
| 2022 | CVPR | Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. | Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Mller, Heiko Schwarz, Wojciech Samek |
| 2022 | ICIP | History Dependent Significance Coding for Incremental Neural Network Compression. | Gerhard Tech, Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Mller, Jonathan Pfaff, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand |
| 2022 | IJCAI | FedAUXfdp: Differentially Private One-Shot Federated Distillation. | Haley Hoech, Roman Rischke, Karsten Mller, Wojciech Samek |
| 2021 | ICIP | Encoder Optimizations For The NNR Standard On Neural Network Compression. | Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Mller, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand |
| 2020 | AAAI | Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. | Vignesh Srinivasan, Klaus-Robert Mller, Wojciech Samek, Shinichi Nakajima |
| 2020 | CVPR | Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). | Arturo Marbn, Daniel Becking, Simon Wiedemann, Wojciech Samek |
| 2020 | CVPR | Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. | Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek |
| 2020 | ICASSP | On the Byzantine Robustness of Clustered Federated Learning. | Felix Sattler, Klaus-Robert Mller, Thomas Wiegand, Wojciech Samek |
| 2020 | ICIP | Dependent Scalar Quantization For Neural Network Compression. | Paul Haase, Heiko Schwarz, Heiner Kirchhoffer, Simon Wiedemann, Talmaj Marinc, Arturo Marbn, Karsten Mller, Wojciech Samek, Detlev Marpe, Thomas Wiegand |
| 2020 | ICIP | Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates. | David Neumann, Felix Sattler, Heiner Kirchhoffer, Simon Wiedemann, Karsten Mller, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek |
| 2020 | ICML | ECQ | Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Mller, Sebastian Lapuschkin |
| 2020 | ICML | xxAI - Beyond Explainable Artificial Intelligence. | Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Mller, Wojciech Samek |
| 2020 | ICML | Explainable AI Methods - A Brief Overview. | Andreas Holzinger, Anna Saranti, Christoph Molnar, Przemyslaw Biecek, Wojciech Samek |
| 2020 | ICML | Explaining the Predictions of Unsupervised Learning Models. | Grgoire Montavon, Jacob R. Kauffmann, Wojciech Samek, Klaus-Robert Mller |
| 2020 | ICPR | Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. | Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder |
| 2020 | ICPR | Explanation-Guided Training for Cross-Domain Few-Shot Classification. | Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder |
| 2020 | IJCNN | Towards Best Practice in Explaining Neural Network Decisions with LRP. | Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin |
| 2019 | ICIP | Multi-Kernel Prediction Networks for Denoising of Burst Images. | Talmaj Marinc, Vignesh Srinivasan, Serhan Gl, Cornelius Hellge, Wojciech Samek |
| 2019 | IJCNN | Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. | Felix Sattler, Simon Wiedemann, Klaus-Robert Mller, Wojciech Samek |
| 2019 | IJCNN | Entropy-Constrained Training of Deep Neural Networks. | Simon Wiedemann, Arturo Marbn, Klaus-Robert Mller, Wojciech Samek |
| 2019 | MICCAI | Deep Transfer Learning for Whole-Brain FMRI Analyses. | Armin W. Thomas, Klaus-Robert Mller, Wojciech Samek |
| 2018 | GLOBECOM | Machine Learning for Early HARQ Feedback Prediction in 5G. | Nils Strodthoff, Baris Gktepe, Thomas Schierl, Wojciech Samek, Cornelius Hellge |
| 2018 | ICASSP | Transferring Information Between Neural Networks. | Christopher Ehmann, Wojciech Samek |
| 2018 | ICIP | Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction. | Sebastian Bosse, Sren Becker, Zacharias V. Fisches, Wojciech Samek, Thomas Wiegand |
| 2018 | IROS | Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model. | Arturo Marbn, Vignesh Srinivasan, Wojciech Samek, Josep Fernndez, Alicia Casals |
| 2018 | QoMEX | On the Stimulation Frequency in SSVEP-based Image Quality Assessment. | Sebastian Bosse, Milena T. Bagdasarian, Wojciech Samek, Gabriel Curio, Thomas Wiegand |
| 2017 | ICASSP | Interpretable human action recognition in compressed domain. | Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Klaus-Robert Mller, Wojciech Samek |
| 2017 | ICIP | A perceptually relevant shearlet-based adaptation of the PSNR. | Sebastian Bosse, Mischa Siekmann, Wojciech Samek, Thomas Wiegand |
| 2017 | IWDW | Detection of Face Morphing Attacks by Deep Learning. | Clemens Seibold, Wojciech Samek, Anna Hilsmann, Peter Eisert |
| 2016 | CVPR | Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. | Sebastian Lapuschkin, Alexander Binder, Grgoire Montavon, Klaus-Robert Mller, Wojciech Samek |
| 2016 | ICANN | Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. | Alexander Binder, Grgoire Montavon, Sebastian Lapuschkin, Klaus-Robert Mller, Wojciech Samek |
| 2016 | ICIP | Controlling explanatory heatmap resolution and semantics via decomposition depth. | Sebastian Bach, Alexander Binder, Klaus-Robert Mller, Wojciech Samek |
| 2016 | ICIP | Shearlet-based reduced reference image quality assessment. | Sebastian Bosse, Qiaobo Chen, Mischa Siekmann, Wojciech Samek, Thomas Wiegand |
| 2016 | ICIP | A deep neural network for image quality assessment. | Sebastian Bosse, Dominique Maniry, Thomas Wiegand, Wojciech Samek |
| 2016 | MMSP | Hybrid video object tracking in H.265/HEVC video streams. | Serhan Gul, Jan Timo Meyer, Cornelius Hellge, Thomas Schierl, Wojciech Samek |
| 2016 | PCS | Neural network-based full-reference image quality assessment. | Sebastian Bosse, Dominique Maniry, Klaus-Robert Mller, Thomas Wiegand, Wojciech Samek |
| 2016 | SMC | Brain-Computer Interfacing for multimedia quality assessment. | Sebastian Bosse, Klaus-Robert Mller, Thomas Wiegand, Wojciech Samek |
| 2016 | SMC | Alternative CSP approaches for multimodal distributed BCI data. | Stephanie Brandl, Klaus-Robert Mller, Wojciech Samek |
| 2014 | ICASSP | Robust common spatial patterns by minimum divergence covariance estimator. | Wojciech Samek, Motoaki Kawanabe |
| 2011 | CAIP | Multi-task Learning via Non-sparse Multiple Kernel Learning. | Wojciech Samek, Alexander Binder, Motoaki Kawanabe |
| 2011 | ICANN | An Information Geometrical View of Stationary Subspace Analysis. | Motoaki Kawanabe, Wojciech Samek, Paul von Bnau, Frank C. Meinecke |