Wojciech Samek
Orcid: 0000-0002-6283-3265
According to our database1,
Wojciech Samek
authored at least 229 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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on id.loc.gov
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication.
IEEE Trans. Multim., 2024
Pattern Recognit., 2024
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark.
J. Frankl. Inst., 2024
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions.
Inf. Fusion, 2024
Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond.
CoRR, 2024
CoRR, 2024
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers.
CoRR, 2024
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits.
CoRR, 2024
Proceedings of the Explainable Artificial Intelligence, 2024
Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification.
Proceedings of the Explainable Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
From attribution maps to human-understandable explanations through Concept Relevance Propagation.
Nat. Mac. Intell., September, 2023
J. Frankl. Inst., September, 2023
Data Models for Dataset Drift Controls in Machine Learning With Optical Images - Datasets.
Dataset, May, 2023
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell., April, 2023
Inf. Fusion, April, 2023
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review.
IEEE Internet Things J., February, 2023
Trans. Mach. Learn. Res., 2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus.
Trans. Mach. Learn. Res., 2023
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond.
J. Mach. Learn. Res., 2023
From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space.
CoRR, 2023
CoRR, 2023
CoRR, 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
XAI-based Comparison of Audio Event Classifiers with different Input Representations.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023
2022
CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding.
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective.
IEEE Signal Process. Mag., 2022
Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain.
NeuroImage, 2022
Inf. Fusion, 2022
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence.
Inf. Fusion, 2022
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations.
Inf. Fusion, 2022
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models.
Inf. Fusion, 2022
ACM Trans. Comput. Heal., 2022
CoRR, 2022
From "Where" to "What": Towards Human-Understandable Explanations through Concept Relevance Propagation.
CoRR, 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations.
CoRR, 2022
CoRR, 2022
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the Machine Learning and Knowledge Extraction, 2022
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
2021
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE J. Biomed. Health Informatics, 2021
Pattern Recognit., 2021
Proc. IEEE, 2021
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4Bit-Compact Multilayer Perceptrons.
IEEE Open J. Circuits Syst., 2021
Neural Networks, 2021
J. Medical Syst., 2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy.
CoRR, 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy.
CoRR, 2021
Detecting failure modes in image reconstructions with interval neural network uncertainty.
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
npj Digit. Medicine, 2020
IEEE J. Sel. Top. Signal Process., 2020
J. Inf. Secur. Appl., 2020
CoRR, 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures.
CoRR, 2020
CoRR, 2020
USMPep: universal sequence models for major histocompatibility complex binding affinity prediction.
BMC Bioinform., 2020
Bioinform., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T).
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
IEEE J. Sel. Areas Commun., 2019
Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network.
Digit. Signal Process., 2019
Comput. Vis. Image Underst., 2019
CoRR, 2019
On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence.
CoRR, 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints.
CoRR, 2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.
CoRR, 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression.
CoRR, 2019
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling.
CoRR, 2019
CoRR, 2019
A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery.
Biomed. Signal Process. Control., 2019
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Pattern Recognition, 2019
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019
Proceedings of the 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2019
2018
IEEE Trans. Image Process., 2018
Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition.
IEEE Trans. Circuits Syst. Video Technol., 2018
Digit. Signal Process., 2018
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography.
CoRR, 2018
What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis.
CoRR, 2018
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals.
CoRR, 2018
Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks.
CoRR, 2018
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.
CoRR, 2018
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the IEEE Globecom Workshops, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Pattern Recognit., 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models.
CoRR, 2017
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017
Proceedings of the Digital Forensics and Watermarking - 16th International Workshop, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Estimating Position & Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the From Vision to Reality, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the Pattern Recognition - 39th German Conference, 2017
2016
Multiscale temporal neural dynamics predict performance in a complex sensorimotor task.
NeuroImage, 2016
it Inf. Technol., 2016
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation.
CoRR, 2016
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016
Proceedings of the 2016 Picture Coding Symposium, 2016
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016
Quality assessment of image patches distorted by image compression using crowdsourcing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Proceedings of the 6th European Workshop on Visual Information Processing, 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces.
Proc. IEEE, 2015
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.
Proc. IEEE, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
2014
Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the Ausgezeichnete Informatikdissertationen 2014, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
2013
IEEE Trans. Biomed. Eng., 2013
Comput. Vis. Image Underst., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Multi-modal visual concept classification of images via Markov random walk over tags.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals.
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task.
Proceedings of the CLEF 2011 Labs and Workshop, 2011
Proceedings of the Computer Analysis of Images and Patterns, 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Shrinking large visual vocabularies using multi-label agglomerative information bottleneck.
Proceedings of the International Conference on Image Processing, 2010
A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition.
Proceedings of the Computer Vision - ACCV 2010, 2010