Wojciech Samek
19 papers · 2013–2026 · 10 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (37) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Trendsetter Combo
(3)
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Grand Slam
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Dynamic Duo
(11)
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Deep Specialist
(11)
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Topic Evolution
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Keyword Pioneer
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Keyword Collector
(103)
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Prolific Year · Productive
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The Questioner
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Century Club · Bronze
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Research topics
Keywords
neural network
(5)
latent representation
(3)
explainable ai
(3)
layer-wise relevance propagation
(3)
feature attribution
(2)
concept activation vector
(2)
privacy-preserving machine learning
(2)
image classification
(2)
explanation evaluation
(2)
diffusion model
(2)
sparse autoencoder
(2)
medical imaging
(1)
langevin dynamics
(1)
image synthesis
(1)
sentiment analysis
(1)
feature extraction
(1)
active learning
(1)
federated learning
(1)
image generation
(1)
model adaptation
(1)
Papers
From Weights to Activations: Is Steering the Next Frontier of Adaptation?
ACL 2026
Leveraging Sparsity for Privacy in Collaborative Inference
WACV 2026
FADE: Why Bad Descriptions Happen to Good Features
ACL 2025
FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning
ICCV 2025
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
ICLR 2025
Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure
MIDL 2024
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
ICML 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
AAAI 2024
Generative Fractional Diffusion Models
NeurIPS 2024
Position: Explain to Question not to Justify
ICML 2024
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
NeurIPS 2023
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
JMLR 2023
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
CVPR 2023
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance
AAAI 2020
Evaluating Recurrent Neural Network Explanations
ACL 2019
iNNvestigate Neural Networks!
JMLR 2019
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
CVPR 2016
The LRP Toolbox for Artificial Neural Networks
JMLR 2016
Robust Spatial Filtering with Beta Divergence
NeurIPS 2013