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Wojciech Samek

Identifiers

  • name variant Wojciech Samek 0.60 · backfill

Papers (52)

  1. Judge Circuits cs.CL · 2026 · author #9
  2. $\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors stat.ML · 2026 · author #4
  3. Playing the network backward: A Game Theoretic Attribution Framework cs.LG · 2026 · author #5
  4. Knowledge-Free Correlated Agreement for Incentivizing Federated Learning cs.LG · 2026 · author #4
  5. Contrastive Semantic Projection: Faithful Neuron Labeling with Contrastive Examples cs.CV · 2026 · author #3
  6. From Weights to Activations: Is Steering the Next Frontier of Adaptation? cs.CL · 2026 · author #6
  7. From Attribution to Action: A Human-Centered Application of Activation Steering cs.AI · 2026 · author #4
  8. X-SYS: A Reference Architecture for Interactive Explanation Systems cs.AI · 2026 · author #7
  9. Atlas-Alignment: Making Interpretability Transferable Across Language Models cs.LG · 2025 · author #4
  10. Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs cs.LG · 2025 · author #6
  11. FADE: Why Bad Descriptions Happen to Good Features cs.LG · 2025 · author #6
  12. Deep Transfer Learning For Whole-Brain fMRI Analyses eess.IV · 2019 · author #3
  13. DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression cs.LG · 2019 · author #12
  14. Evaluating Recurrent Neural Network Explanations cs.LG · 2019 · author #4
  15. Black-Box Decision based Adversarial Attack with Symmetric $\alpha$-stable Distribution cs.CV · 2019 · author #4
  16. Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling cond-mat.stat-mech · 2019 · author #4
  17. Robust and Communication-Efficient Federated Learning from Non-IID Data cs.LG · 2019 · author #4
  18. Unmasking Clever Hans Predictors and Assessing What Machines Really Learn cs.AI · 2019 · author #5
  19. Entropy-Constrained Training of Deep Neural Networks cs.LG · 2018 · author #4
  20. Analyzing Neuroimaging Data Through Recurrent Deep Learning Models cs.LG · 2018 · author #4
  21. Explaining the Unique Nature of Individual Gait Patterns with Deep Learning cs.LG · 2018 · author #3
  22. iNNvestigate neural networks! cs.LG · 2018 · author #7
  23. Understanding Patch-Based Learning by Explaining Predictions cs.LG · 2018 · author #3
  24. Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks cs.CV · 2018 · author #2
  25. Robustifying Models Against Adversarial Attacks by Langevin Dynamics cs.LG · 2018 · author #4
  26. Compact and Computationally Efficient Representation of Deep Neural Networks cs.LG · 2018 · author #3
  27. Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication cs.LG · 2018 · author #4
  28. A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery cs.CV · 2018 · author #3
  29. Dual Recurrent Attention Units for Visual Question Answering cs.AI · 2018 · author #2
  30. The Convergence of Machine Learning and Communications cs.NI · 2017 · author #1
  31. Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models cs.AI · 2017 · author #1
  32. Understanding and Comparing Deep Neural Networks for Age and Gender Classification stat.ML · 2017 · author #4
  33. Discovering topics in text datasets by visualizing relevant words cs.CL · 2017 · author #5
  34. Exploring text datasets by visualizing relevant words cs.CL · 2017 · author #5
  35. Methods for Interpreting and Understanding Deep Neural Networks cs.LG · 2017 · author #2
  36. Explaining Recurrent Neural Network Predictions in Sentiment Analysis cs.CL · 2017 · author #4
  37. "What is Relevant in a Text Document?": An Interpretable Machine Learning Approach cs.CL · 2016 · author #5
  38. Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment cs.CV · 2016 · author #5
  39. Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation stat.ML · 2016 · author #1
  40. Sharing Hash Codes for Multiple Purposes stat.ML · 2016 · author #5
  41. Object Boundary Detection and Classification with Image-level Labels cs.CV · 2016 · author #2
  42. Explaining Predictions of Non-Linear Classifiers in NLP cs.CL · 2016 · author #5
  43. Identifying individual facial expressions by deconstructing a neural network cs.CV · 2016 · author #4
  44. Interpretable Deep Neural Networks for Single-Trial EEG Classification cs.NE · 2016 · author #3
  45. Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers cs.CV · 2016 · author #5
  46. Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth cs.CV · 2016 · author #4
  47. Explaining NonLinear Classification Decisions with Deep Taylor Decomposition cs.LG · 2015 · author #4
  48. Analyzing Classifiers: Fisher Vectors and Deep Neural Networks cs.CV · 2015 · author #5
  49. Evaluating the visualization of what a Deep Neural Network has learned cs.CV · 2015 · author #1
  50. Multiple Kernel Learning for Brain-Computer Interfacing stat.ML · 2013 · author #1
  51. Transferring Subspaces Between Subjects in Brain-Computer Interfacing stat.ML · 2012 · author #1
  52. Insights from Classifying Visual Concepts with Multiple Kernel Learning cs.CV · 2011 · author #5

Mentions

  • 1310.6067 #1 · backfill · confidence 0.70 Wojciech Samek
  • 2604.11467 #4 · arxiv_oai · confidence 0.70 Wojciech Samek
  • 1209.4115 #1 · backfill · confidence 0.70 Wojciech Samek
  • 1112.3697 #5 · backfill · confidence 0.70 Wojciech Samek
  • 2605.16023 #9 · arxiv_oai · confidence 0.70 Wojciech Samek
  • 2605.15688 #4 · arxiv_oai · confidence 0.70 Wojciech Samek

Frequent Coauthors