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Sebastian Lapuschkin

fraunhofer gesellschaft

26H-index
130Paper Count
6.9KCitation Count
Published Papers 22
Publication Date
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Deep learning-based multi project InP wafer simulation towards unsupervised surface defect detection
errJOURNAL OF THE FRANKLIN INSTITUTE
IF4.2
err2026-01-15
err0
errOAAI
errCantu, Emilio Dolgener; Wittmann, Rolf Klemens; Abdeen, Oliver; Wagner, Patrick; Samek, Wojciech; Baier, Moritz; Lapuschkin, Sebastian
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Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy
errPLoS One
IF2.6
err2026-01-02
err1
PREAI
errAnders, Christopher J.; Neumann, David; Samek, Wojciech; Muller, Klaus-Robert; Lapuschkin, Sebastian
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errSave
Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks
errEXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2025, PT II
IF0
err2026-01-01
err0
errOAAI
errNaujoks, Jonas R.; Krasowski, Aleksander; Weckbecker, Moritz; Yolcu, Galip Umit; Wiegand, Thomas; Lapuschkin, Sebastian; Samek, Wojciech; Klausen, Rene P.
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Post-hoc Concept Disentanglement: From Correlated to Isolated Concept Representations
errEXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2025, PT I
IF0
err2026-01-01
err0
errOAAI
errErogullari, Eren; Lapuschkin, Sebastian; Samek, Wojciech; Pahde, Frederik
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errSave
Mechanistic understanding and validation of large AI models with SemanticLens
errNature Machine Intelligence
IF23.9
err2025-08-14
err0
PREAI
errMaximilian Dreyer; Jim Berend; Tobias Labarta; Johanna Vielhaben; Thomas Wiegand; Sebastian Lapuschkin; Wojciech Samek
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Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data
errMachine Learning
IF2.9
err2025-08-12
err0
errOAAI
errFrederik Pahde; Thomas Wiegand; Sebastian Lapuschkin; Wojciech Samek
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Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection
errScientific Reports
IF3.9
err2025-08-07
err0
errOAAI
errAndrea M. Storås; Maximilian Dreyer; Frederik Pahde; Sebastian Lapuschkin; Wojciech Samek; Pål Halvorsen; Thomas de Lange; Yuichi Mori; Alexander Hann; Tyler M. Berzin; Sravanthi Parasa; Michael A. Riegler
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errSave
Explaining predictive uncertainty by exposing second-order effects
errPATTERN RECOGNITION
IF7.6
err2025-04-01
err0
errOAAI
errBley, Florian; Lapuschkin, Sebastian; Samek, Wojciech; Montavon, Gregoire
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errSave
Explainable AI for time series via Virtual Inspection Layers
errPATTERN RECOGNITION
IF7.6
err2024-06-01
err6
errOAAI
errVielhaben, Johanna; Lapuschkin, Sebastian; Montavon, Gregoire; Samek, Wojciech
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errSave
From attribution maps to human-understandable explanations through Concept Relevance Propagation
errNATURE MACHINE INTELLIGENCE
IF23.9
err2023-09-20
err28
errOAAI
errAchtibat, Reduan; Dreyer, Maximilian; Eisenbraun, Ilona; Bosse, Sebastian; Wiegand, Thomas; Samek, Wojciech; Lapuschkin, Sebastian
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errSave
Beyond explaining: Opportunities and challenges of XAI-based model improvement
errINFORMATION FUSION
IF15.5
err2023-04-01
err38
errOAAI
errWeber, Leander; Lapuschkin, Sebastian; Binder, Alexander; Samek, Wojciech
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errSave
Towards Trustworthy AI in Dentistry
errJOURNAL OF DENTAL RESEARCH
IF5.9
err2022-06-23
err33
errOAAI
errMa, J.; Schneider, L.; Lapuschkin, S.; Achtibat, R.; Duchrau, M.; Krois, J.; Schwendicke, F.; Samek, W.
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errSave
Explain and improve: LRP-inference fine-tuning for image captioning models
errINFORMATION FUSION
IF15.5
err2022-01-01
err23
errOAAI
errSun, Jiamei; Lapuschkin, Sebastian; Samek, Wojciech; Binder, Alexander
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errSave
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models
errINFORMATION FUSION
IF15.5
err2022-01-01
err64
errOAAI
errAnders, Christopher J.; Weber, Leander; Neumann, David; Samek, Wojciech; Mueller, Klaus-Robert; Lapuschkin, Sebastian
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Pruning by explaining: A novel criterion for deep neural network pruning
errPATTERN RECOGNITION
IF7.6
err2021-07-01
err139
errOAAI
errYeom, Seul-Ki; Seegerer, Philipp; Lapuschkin, Sebastian; Binder, Alexander; Wiedemann, Simon; Mueller, Klaus-Robert; Samek, Wojciech
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errSave
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
errPROCEEDINGS OF THE IEEE
IF25.9
err2021-03-01
err575
errOAAI
errSamek, Wojciech; Montavon, Gregoire; Lapuschkin, Sebastian; Anders, Christopher J.; Mueller, Klaus-Robert
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errSave
Revealing the unique features of each individual's muscle activation signatures
errJOURNAL OF THE ROYAL SOCIETY INTERFACE
IF3.5
err2021-01-13
err20
errOAAI
errAeles, Jeroen; Horst, Fabian; Lapuschkin, Sebastian; Lacourpaille, Lilian; Hug, Francois
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errSave
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
errSCIENTIFIC REPORTS
IF3.9
err2020-04-14
err115
errOAAI
errHagele, Miriam; Seegerer, Philipp; Lapuschkin, Sebastian; Bockmayr, Michael; Samek, Wojciech; Klauschen, Frederick; Mueller, Klaus-Robert; Binder, Alexander
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Unmasking Clever Hans predictors and assessing what machines really learn
errNATURE COMMUNICATIONS
IF15.7
err2019-03-11
err646
errOAAI
errLapuschkin, Sebastian; Waeldchen, Stephan; Binder, Alexander; Montavon, Gregoire; Samek, Wojciech; Mueller, Klaus-Robert
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errSave
Explaining the unique nature of individual gait patterns with deep learning
errSCIENTIFIC REPORTS
IF3.9
err2019-02-20
err185
errOAAI
errHorst, Fabian; Lapuschkin, Sebastian; Samek, Wojciech; Mueller, Klaus-Robert; Schoellhorn, Wolfgang, I
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Research Directions

No research directions
Co-authors
Cooperation Journals
K
Klaus‐Robert Müller
H-index: 110 · Papers: 727
F
Falk Schwendicke
H-index: 91 · Papers: 614
T
Thomas Wiegand
H-index: 65 · Papers: 454
F
Frederick Klauschen
H-index: 62 · Papers: 456
F
François Hug
H-index: 60 · Papers: 330
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