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2020 – today
- 2025
- [j65]Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon:
Explaining predictive uncertainty by exposing second-order effects. Pattern Recognit. 160: 111171 (2025) - 2024
- [j64]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: 102301 (2024) - [j63]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): 418-428 (2024) - [j62]Johanna Vielhaben
, Sebastian Lapuschkin
, Grégoire Montavon
, Wojciech Samek
:
Explainable AI for time series via Virtual Inspection Layers. Pattern Recognit. 150: 110309 (2024) - [j61]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: 6848-6863 (2024) - [j60]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): 1926-1940 (2024) - [j59]Leon Witt, Usama Zafar, KuoYeh Shen, Felix Sattler, Dan Li, Songtao Wang, Wojciech Samek:
Decentralized and Incentivized Federated Learning: A Blockchain-Enabled Framework Utilising Compressed Soft-Labels and Peer Consistency. IEEE Trans. Serv. Comput. 17(4): 1449-1464 (2024) - [c89]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: 21046-21054 - [c88]Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin:
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations. CVPR Workshops 2024: 3491-3501 - [c87]Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin:
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression. CVPR Workshops 2024: 3532-3541 - [c86]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. ICML 2024 - [c85]Przemyslaw Biecek, Wojciech Samek:
Position: Explain to Question not to Justify. ICML 2024 - [c84]Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek:
Generative Fractional Diffusion Models. NeurIPS 2024 - [c83]Xiaoyan Yu
, Jannik Franzen
, Wojciech Samek
, Marina M.-C. Höhne
, Dagmar Kainmueller
:
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. xAI (2) 2024: 113-129 - [c82]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. xAI (2) 2024: 202-216 - [i127]Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon:
Explaining Predictive Uncertainty by Exposing Second-Order Effects. CoRR abs/2401.17441 (2024) - [i126]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 abs/2402.05602 (2024) - [i125]Galip Ümit Yolcu, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin:
DualView: Data Attribution from the Dual Perspective. CoRR abs/2402.12118 (2024) - [i124]Przemyslaw Biecek, Wojciech Samek:
Explain to Question not to Justify. CoRR abs/2402.13914 (2024) - [i123]Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin:
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits. CoRR abs/2404.06453 (2024) - [i122]Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin:
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression. CoRR abs/2404.09601 (2024) - [i121]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 abs/2404.10433 (2024) - [i120]Leon Witt, Armando Teles Fortes, Kentaroh Toyoda, Wojciech Samek, Dan Li:
Blockchain and Artificial Intelligence: Synergies and Conflicts. CoRR abs/2405.13462 (2024) - [i119]Xiaoyan Yu, Jannik Franzen, Wojciech Samek, Marina M.-C. Höhne, Dagmar Kainmueller:
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. CoRR abs/2407.03009 (2024) - [i118]Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon:
The Clever Hans Effect in Unsupervised Learning. CoRR abs/2408.08041 (2024) - [i117]Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin:
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers. CoRR abs/2408.12568 (2024) - [i116]Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, René P. Klausen:
PINNfluence: Influence Functions for Physics-Informed Neural Networks. CoRR abs/2409.08958 (2024) - [i115]Maximilian Andreas Hoefler, Karsten Müller, Wojciech Samek:
XAI-guided Insulator Anomaly Detection for Imbalanced Datasets. CoRR abs/2409.16821 (2024) - [i114]Rohan Reddy Mekala, Frederik Pahde, Simon Baur, Sneha Chandrashekar, Madeline Diep, Markus Wenzel, Eric L. Wisotzky, Galip Ümit Yolcu, Sebastian Lapuschkin, Jackie Ma, Peter Eisert, Mikael Lindvall, Adam A. Porter, Wojciech Samek:
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization. CoRR abs/2410.05114 (2024) - [i113]Dilyara Bareeva, Galip Ümit Yolcu, Anna Hedström, Niklas Schmolenski, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin:
Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond. CoRR abs/2410.07158 (2024) - [i112]Michael Detzel, Gabriel Nobis, Jackie Ma, Wojciech Samek:
Spatial Shortcuts in Graph Neural Controlled Differential Equations. CoRR abs/2410.19673 (2024) - [i111]Andreas Lutz, Gabriele Steidl, Karsten Müller, Wojciech Samek:
Optimizing Federated Learning by Entropy-Based Client Selection. CoRR abs/2411.01240 (2024) - [i110]Johanna Vielhaben, Dilyara Bareeva, Jim Berend, Wojciech Samek, Nils Strodthoff:
Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers. CoRR abs/2412.06639 (2024) - [i109]Elies Gil-Fuster, Jonas R. Naujoks, Grégoire Montavon, Thomas Wiegand, Wojciech Samek, Jens Eisert:
Opportunities and limitations of explaining quantum machine learning. CoRR abs/2412.14753 (2024) - 2023
- [j58]Leander Weber
, Sebastian Lapuschkin
, Alexander Binder
, Wojciech Samek
:
Beyond explaining: Opportunities and challenges of XAI-based model improvement. Inf. Fusion 92: 154-176 (2023) - [j57]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): 3642-3663 (2023) - [j56]Armin W. Thomas
, Ulman Lindenberger
, Wojciech Samek
, Klaus-Robert Müller
:
Evaluating deep transfer learning for whole-brain cognitive decoding. J. Frankl. Inst. 360(13): 9754-9787 (2023) - [j55]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: 34:1-34:11 (2023) - [j54]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): 1006-1019 (2023) - [j53]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): 282-291 (2023) - [j52]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) - [j51]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) - [j50]Felix Sattler
, Tim Korjakow
, Roman Rischke
, Wojciech Samek
:
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5531-5543 (2023) - [j49]Vignesh Srinivasan
, Klaus-Robert Müller
, Wojciech Samek
, Shinichi Nakajima
:
Langevin Cooling for Unsupervised Domain Translation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7675-7688 (2023) - [c81]Annika Frommholz
, Fabian Seipel
, Sebastian Lapuschkin
, Wojciech Samek
, Johanna Vielhaben
:
XAI-based Comparison of Audio Event Classifiers with different Input Representations. CBMI 2023: 126-132 - [c80]Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin:
Optimizing Explanations by Network Canonization and Hyperparameter Search. CVPR Workshops 2023: 3819-3828 - [c79]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: 3829-3839 - [c78]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: 16143-16152 - [c77]Karam Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse:
Human-Centered Evaluation of XAI Methods. ICDM (Workshops) 2023: 912-921 - [c76]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: 596-606 - [c75]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 - [d1]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 - Datasets. Zenodo, 2023 - [i108]Anna Hedström, Philine Lou 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 abs/2302.07265 (2023) - [i107]David Neumann, Andreas Lutz, Karsten Müller, Wojciech Samek:
A Privacy Preserving System for Movie Recommendations using Federated Learning. CoRR abs/2303.04689 (2023) - [i106]Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek:
Explainable AI for Time Series via Virtual Inspection Layers. CoRR abs/2303.06365 (2023) - [i105]Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin:
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. CoRR abs/2303.12641 (2023) - [i104]Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben:
XAI-based Comparison of Input Representations for Audio Event Classification. CoRR abs/2304.14019 (2023) - [i103]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. CoRR abs/2306.13384 (2023) - [i102]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 abs/2308.09437 (2023) - [i101]Leander Weber, Jim Berend, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin:
Layer-wise Feedback Propagation. CoRR abs/2308.12053 (2023) - [i100]Karam Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse:
Human-Centered Evaluation of XAI Methods. CoRR abs/2310.07534 (2023) - [i99]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 abs/2310.17638 (2023) - [i98]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 abs/2310.19775 (2023) - [i97]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 M. 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 abs/2311.13028 (2023) - [i96]Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin:
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations. CoRR abs/2311.16681 (2023) - 2022
- [j48]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): 14:1-14:27 (2022) - [j47]Jiamei Sun
, Sebastian Lapuschkin
, Wojciech Samek
, Alexander Binder
:
Explain and improve: LRP-inference fine-tuning for image captioning models. Inf. Fusion 77: 233-246 (2022) - [j46]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: 261-295 (2022) - [j45]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: 263-278 (2022) - [j44]Leila Arras
, Ahmed Osman
, Wojciech Samek
:
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations. Inf. Fusion 81: 14-40 (2022) - [j43]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: 119504 (2022) - [j42]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): 40-58 (2022) - [j41]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): 3203-3216 (2022) - [j40]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): 2025-2038 (2022) - [c74]Klaus-Robert Müller
, Armin W. Thomas, Wojciech Samek:
Deep Learning for Whole-Brain Cognitive Decoding. BCI 2022: 1-3 - [c73]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: 1-18 - [c72]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: 3366-3375 - [c71]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: 3541-3545 - [c70]Haley Hoech
, Roman Rischke
, Karsten Müller
, Wojciech Samek
:
FedAUXfdp: Differentially Private One-Shot Federated Distillation. FL@IJCAI 2022: 100-114 - [e2]Andreas Holzinger
, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller
, Wojciech Samek
:
xxAI - Beyond Explainable AI - International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers. Lecture Notes in Computer Science 13200, Springer 2022, ISBN 978-3-031-04082-5 [contents] - [i95]Frederik Pahde, Leander Weber, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin:
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging. CoRR abs/2202.03482 (2022) - [i94]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 abs/2202.06861 (2022) - [i93]Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek:
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement. CoRR abs/2203.08008 (2022) - [i92]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 abs/2204.04424 (2022) - [i91]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 abs/2205.01929 (2022) - [i90]Leon Witt, Mathis Heyer, Kentaroh Toyoda
, Wojciech Samek, Dan Li:
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review. CoRR abs/2205.07855 (2022) - [i89]Haley Hoech, Roman Rischke, Karsten Müller, Wojciech Samek:
FedAUXfdp: Differentially Private One-Shot Federated Distillation. CoRR abs/2205.14960 (2022) - [i88]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 abs/2206.03208 (2022) - [i87]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 abs/2211.02578 (2022) - [i86]Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin:
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations. CoRR abs/2211.11426 (2022) - [i85]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 abs/2211.12486 (2022) - [i84]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 abs/2211.17015 (2022) - [i83]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 abs/2211.17016 (2022) - [i82]Frederik Pahde, Galip Ümit Yolcu, Alexander Binder
, Wojciech Samek, Sebastian Lapuschkin:
Optimizing Explanations by Network Canonization and Hyperparameter Search. CoRR abs/2211.17174 (2022) - 2021
- [j39]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): 2089-2097 (2021) - [j38]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
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Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 45(12): 105 (2021) - [j37]Vignesh Srinivasan
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FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4Bit-Compact Multilayer Perceptrons. IEEE Open J. Circuits Syst. 2: 407-419 (2021) - [j35]Wojciech Samek
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Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications. Proc. IEEE 109(3): 247-278 (2021) - [j34]Lukas Ruff
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A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109(5): 756-795 (2021) - [j33]Seul-Ki Yeom, Philipp Seegerer
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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. IEEE J. Biomed. Health Informatics 25(5): 1519-1528 (2021) - [j31]Felix Sattler
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Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3710-3722 (2021) - [c69]Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek:
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