Wojciech Samek

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 243

Top Venues

CoRR

ICIP

IEEE Trans. Neural Networks Learn. Syst.

Inf. Fusion

Berlin Institute of Technology (PHD)

Education History

Berlin Institute of Technology

PHD

Publications

Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space. AAAI (2024)
Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
From Clustering to Cluster Explanations via Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression. CoRR (2024)
Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark. J. Frankl. Inst. 361 (1) (2024)
Galip Ümit Yolcu, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
DualView: Data Attribution from the Dual Perspective. CoRR (2024)
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
AttnLRP: Attention-Aware Layer-wise Relevance Propagation for Transformers. CoRR (2024)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106 (2024)
Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon
Explaining Predictive Uncertainty by Exposing Second-Order Effects. CoRR (2024)
Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits. CoRR (2024)
Xiaoyan Yu, Jannik Franzen, Wojciech Samek, Marina M.-C. Höhne, Dagmar Kainmueller
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. CoRR (2024)
Przemyslaw Biecek, Wojciech Samek
Explain to Question not to Justify. CoRR (2024)
Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification. CoRR (2024)
Daniel Becking, Karsten Müller, Paul Haase, Heiner Kirchhoffer, Gerhard Tech, Wojciech Samek, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication. IEEE Trans. Multim. 26 (2024)
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
Explainable AI for time series via Virtual Inspection Layers. Pattern Recognit. 150 (2024)
Leon Witt, Armando Teles Fortes, Kentaroh Toyoda, Wojciech Samek, Dan Li
Blockchain and Artificial Intelligence: Synergies and Conflicts. CoRR (2024)
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CVPR (2023)
Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti
Data Models for Dataset Drift Controls in Machine Learning With Optical Images. Trans. Mach. Learn. Res. 2023 (2023)
Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space. CoRR (2023)
Leon Witt, Mathis Heyer, Kentaroh Toyoda, Wojciech Samek, Dan Li
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review. IEEE Internet Things J. 10 (4) (2023)
Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
XAI-based Comparison of Audio Event Classifiers with different Input Representations. CBMI (2023)
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
From attribution maps to human-understandable explanations through Concept Relevance Propagation. Nat. Mac. Intell. 5 (9) (2023)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR (2023)
Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond. J. Mach. Learn. Res. 24 (2023)
Leander Weber, Jim Berend, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Layer-wise Feedback Propagation. CoRR (2023)
Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations. CoRR (2023)
Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
Optimizing Explanations by Network Canonization and Hyperparameter Search. CVPR Workshops (2023)
Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. CoRR (2023)
Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. NeurIPS (2023)
Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. Trans. Mach. Learn. Res. 2023 (2023)
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
Explainable AI for Time Series via Virtual Inspection Layers. CoRR (2023)
Gabriel Nobis, Marco Aversa, Maximilian Springenberg, Michael Detzel, Stefano Ermon, Shinichi Nakajima, Roderick Murray-Smith, Sebastian Lapuschkin, Christoph Knochenhauer, Luis Oala, Wojciech Samek
Generative Fractional Diffusion Models. CoRR (2023)
Anna Hedström, Philine Bommer, Kristoffer K. Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. CoRR (2023)
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Langevin Cooling for Unsupervised Domain Translation. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
David Neumann, Andreas Lutz, Karsten Müller, Wojciech Samek
A Privacy Preserving System for Movie Recommendations using Federated Learning. CoRR (2023)
Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
XAI-based Comparison of Input Representations for Audio Event Classification. CoRR (2023)
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
Evaluating deep transfer learning for whole-brain cognitive decoding. J. Frankl. Inst. 360 (13) (2023)
Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. CoRR (2023)
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
Karam Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse
Human-Centered Evaluation of XAI Methods. ICDM (Workshops) (2023)
Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4 (2) (2023)
Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
Beyond explaining: Opportunities and challenges of XAI-based model improvement. Inf. Fusion 92 (2023)
Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations. CVPR Workshops (2023)
Karam Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse
Human-Centered Evaluation of XAI Methods. CoRR (2023)
Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. MICCAI (2) (2023)
Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, Wojciech Samek
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. CVPR Workshops (2022)
Leon Witt, Mathis Heyer, Kentaroh Toyoda, Wojciech Samek, Dan Li
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review. CoRR (2022)
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CoRR (2022)
Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer
Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models. Inf. Fusion 77 (2022)
Haley Hoech, Roman Rischke, Karsten Müller, Wojciech Samek
FedAUXfdp: Differentially Private One-Shot Federated Distillation. FL@IJCAI (2022)
Djordje Slijepcevic, Fabian Horst, Marvin Simak, Sebastian Lapuschkin, Anna-Maria Raberger, Wojciech Samek, Christian Breiteneder, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer, Brian Horsak
Explaining machine learning models for age classification in human gait analysis. CoRR (2022)
Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. IEEE Signal Process. Mag. 39 (4) (2022)
Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, Wojciech Samek
Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning. CoRR (2022)
Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
Optimizing Explanations by Network Canonization and Hyperparameter Search. CoRR (2022)
Djordje Slijepcevic, Fabian Horst, Sebastian Lapuschkin, Brian Horsak, Anna-Maria Raberger, Andreas Kranzl, Wojciech Samek, Christian Breiteneder, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer
Explaining Machine Learning Models for Clinical Gait Analysis. ACM Trans. Comput. Heal. 3 (2) (2022)
Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement. CoRR (2022)
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
Explain and improve: LRP-inference fine-tuning for image captioning models. Inf. Fusion 77 (2022)
Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Sebastian Bosse, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
From "Where" to "What": Towards Human-Understandable Explanations through Concept Relevance Propagation. CoRR (2022)
Haley Hoech, Roman Rischke, Karsten Müller, Wojciech Samek
FedAUXfdp: Differentially Private One-Shot Federated Distillation. CoRR (2022)
Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti
Data Models for Dataset Drift Controls in Machine Learning With Images. CoRR (2022)
Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. CoRR (2022)
Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. CD-MAKE (2022)
Leila Arras, Ahmed Osman, Wojciech Samek
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations. Inf. Fusion 81 (2022)
Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion 79 (2022)
K.-R. Müller, A. W. Thomas, Wojciech Samek
Deep Learning for Whole-Brain Cognitive Decoding. BCI (2022)
Gerhard Tech, Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Jonathan Pfaff, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand
History Dependent Significance Coding for Incremental Neural Network Compression. ICIP (2022)
Simon M. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, Anja Veronica Witte
Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage 261 (2022)
Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek
CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding. IEEE Trans. Netw. Sci. Eng. 9 (4) (2022)
Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations. CoRR (2022)
Frederik Pahde, Leander Weber, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging. CoRR (2022)
Anna Hedström, Leander Weber, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations. CoRR (2022)
Fabian Horst, Djordje Slijepcevic, Matthias Zeppelzauer, Anna-Maria Raberger, Sebastian Lapuschkin, Wojciech Samek, Wolfgang Immanuel Schöllhorn, Christian Breiteneder, Brian Horsak
Explaining automated gender classification of human gait. CoRR (2022)
Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand
Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 45 (12) (2021)
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
Evaluating deep transfer learning for whole-brain cognitive decoding. CoRR (2021)
Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. 115 (2021)
Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek
Interval Neural Networks as Instability Detectors for Image Reconstructions. Bildverarbeitung für die Medizin (2021)
Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy. CoRR (2021)
Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR (2021)
Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
Toward Explainable AI for Regression Models. CoRR (2021)
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications. Proc. IEEE 109 (3) (2021)
Vignesh Srinivasan, Csaba Rohrer, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Robustifying models against adversarial attacks by Langevin dynamics. Neural Networks 137 (2021)
Simon Wiedemann, Suhas Shivapakash, Daniel Becking, Pablo Wiedemann, Wojciech Samek, Friedel Gerfers, Thomas Wiegand
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4Bit-Compact Multilayer Perceptrons. IEEE Open J. Circuits Syst. 2 (2021)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109 (5) (2021)
Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand
Encoder Optimizations For The NNR Standard On Neural Network Compression. ICIP (2021)
Felix Sattler, Klaus-Robert Müller, Wojciech Samek
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. CoRR (2021)
Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Wojciech Samek
Reward-Based 1-bit Compressed Federated Distillation on Blockchain. CoRR (2021)
Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller, Sebastian Lapuschkin
: Explainability-Driven Quantization for Low-Bit and Sparse DNNs. CoRR (2021)
Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Gitta Kutyniok, Wojciech Samek
Detecting failure modes in image reconstructions with interval neural network uncertainty. Int. J. Comput. Assist. Radiol. Surg. 16 (12) (2021)
Paul Haase, Heiko Schwarz, Heiner Kirchhoffer, Simon Wiedemann, Talmaj Marinc, Arturo Marbán, Karsten Müller, Wojciech Samek, Detlev Marpe, Thomas Wiegand
Dependent Scalar Quantization For Neural Network Compression. ICIP (2020)
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
Understanding Image Captioning Models beyond Visualizing Attention. CoRR (2020)
Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek
Communication-Efficient Federated Distillation. CoRR (2020)
Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff
USMPep: universal sequence models for major histocompatibility complex binding affinity prediction. BMC Bioinform. 21 (1) (2020)
Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek
Interval Neural Networks as Instability Detectors for Image Reconstructions. CoRR (2020)
Simon Wiedemann, Temesgen Mehari, Kevin Kepp, Wojciech Samek
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training. CoRR (2020)
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Langevin Cooling for Domain Translation. CoRR (2020)
Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR (2020)

Wojciech Samek.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Wojciech Samek