Sebastian Lapuschkin - Publications, H-index & Citations

Sebastian Lapuschkin

fraunhofer gesellschaft

26H指数

130论文数

6.9K被引数

收录论文 22

发表时间

Deep learning-based multi project InP wafer simulation towards unsupervised surface defect detection

JOURNAL OF THE FRANKLIN INSTITUTE

IF4.2

2026-01-15

OAAI

Cantu, Emilio Dolgener; Wittmann, Rolf Klemens; Abdeen, Oliver; Wagner, Patrick; Samek, Wojciech; Baier, Moritz; Lapuschkin, Sebastian

Software for dataset-wide XAI: From local explanations to global insights with Zennit, CoRelAy, and ViRelAy 软件用于全数据集XAI：借助Zennit、CoRelAy和ViRelAy从局部解释到全局洞察

PLoS One

IF2.6

2026-01-02

PREAI

Anders, Christopher J.; Neumann, David; Samek, Wojciech; Muller, Klaus-Robert; Lapuschkin, Sebastian

Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks 利用影响函数在物理信息神经网络中重采样数据

EXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2025, PT II

IF0

2026-01-01

OAAI

Naujoks, Jonas R.; Krasowski, Aleksander; Weckbecker, Moritz; Yolcu, Galip Umit; Wiegand, Thomas; Lapuschkin, Sebastian; Samek, Wojciech; Klausen, Rene P.

Post-hoc Concept Disentanglement: From Correlated to Isolated Concept Representations 事后概念解耦：从相关概念到孤立概念表示

EXPLAINABLE ARTIFICIAL INTELLIGENCE, XAI 2025, PT I

IF0

2026-01-01

OAAI

Erogullari, Eren; Lapuschkin, Sebastian; Samek, Wojciech; Pahde, Frederik

Mechanistic understanding and validation of large AI models with SemanticLens 具有SemanticLens的大型AI模型的机械理解和验证

Nature Machine Intelligence

IF23.9

2025-08-14

PREAI

Maximilian Dreyer; Jim Berend; Tobias Labarta; Johanna Vielhaben; Thomas Wiegand; Sebastian Lapuschkin; Wojciech Samek

Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data 确保医疗AI安全：基于可解释性的对虚假模型行为及其相关数据的检测与缓解

Machine Learning

IF2.9

2025-08-12

OAAI

Frederik Pahde; Thomas Wiegand; Sebastian Lapuschkin; Wojciech Samek

Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection 探索基于概念的人工智能解释在胃肠道疾病检测中的临床价值

Scientific Reports

IF3.9

2025-08-07

OAAI

Andrea 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

Explaining predictive uncertainty by exposing second-order effects 通过暴露二阶效应解释预测不确定性

PATTERN RECOGNITION

IF7.6

2025-04-01

OAAI

Bley, Florian; Lapuschkin, Sebastian; Samek, Wojciech; Montavon, Gregoire

Explainable AI for time series via Virtual Inspection Layers 通过虚拟检查层进行时间序列的可解释AI

PATTERN RECOGNITION

IF7.6

2024-06-01

OAAI

Vielhaben, Johanna; Lapuschkin, Sebastian; Montavon, Gregoire; Samek, Wojciech

From attribution maps to human-understandable explanations through Concept Relevance Propagation

NATURE MACHINE INTELLIGENCE

IF23.9

2023-09-20

OAAI

Achtibat, Reduan; Dreyer, Maximilian; Eisenbraun, Ilona; Bosse, Sebastian; Wiegand, Thomas; Samek, Wojciech; Lapuschkin, Sebastian

Beyond explaining: Opportunities and challenges of XAI-based model improvement 超越解释: 基于XAI的模型改进的机遇与挑战

INFORMATION FUSION

IF15.5

2023-04-01

OAAI

Weber, Leander; Lapuschkin, Sebastian; Binder, Alexander; Samek, Wojciech

Towards Trustworthy AI in Dentistry

JOURNAL OF DENTAL RESEARCH

IF5.9

2022-06-23

OAAI

Ma, J.; Schneider, L.; Lapuschkin, S.; Achtibat, R.; Duchrau, M.; Krois, J.; Schwendicke, F.; Samek, W.

Explain and improve: LRP-inference fine-tuning for image captioning models 解释和改进: 图像字幕模型的LRP推理微调

INFORMATION FUSION

IF15.5

2022-01-01

OAAI

Sun, Jiamei; Lapuschkin, Sebastian; Samek, Wojciech; Binder, Alexander

Finding and removing Clever Hans: Using explanation methods to debug and improve deep models 发现和删除聪明的汉斯: 使用解释方法调试和改进深度模型

INFORMATION FUSION

IF15.5

2022-01-01

OAAI

Anders, Christopher J.; Weber, Leander; Neumann, David; Samek, Wojciech; Mueller, Klaus-Robert; Lapuschkin, Sebastian

Pruning by explaining: A novel criterion for deep neural network pruning 解释修剪: 一种新的深度神经网络修剪准则

PATTERN RECOGNITION

IF7.6

2021-07-01

139

OAAI

Yeom, Seul-Ki; Seegerer, Philipp; Lapuschkin, Sebastian; Binder, Alexander; Wiedemann, Simon; Mueller, Klaus-Robert; Samek, Wojciech

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications 解释深度神经网络及其以后: 方法和应用综述

PROCEEDINGS OF THE IEEE

IF25.9

2021-03-01

575

OAAI

Samek, Wojciech; Montavon, Gregoire; Lapuschkin, Sebastian; Anders, Christopher J.; Mueller, Klaus-Robert

Revealing the unique features of each individual's muscle activation signatures 揭示每个人肌肉激活特征的独特特征

JOURNAL OF THE ROYAL SOCIETY INTERFACE

IF3.5

2021-01-13

OAAI

Aeles, Jeroen; Horst, Fabian; Lapuschkin, Sebastian; Lacourpaille, Lilian; Hug, Francois

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

SCIENTIFIC REPORTS

IF3.9

2020-04-14

115

OAAI

Hagele, Miriam; Seegerer, Philipp; Lapuschkin, Sebastian; Bockmayr, Michael; Samek, Wojciech; Klauschen, Frederick; Mueller, Klaus-Robert; Binder, Alexander

Unmasking Clever Hans predictors and assessing what machines really learn 揭开聪明的汉斯预测器并评估机器真正学到的东西

NATURE COMMUNICATIONS

IF15.7

2019-03-11

646

OAAI

Lapuschkin, Sebastian; Waeldchen, Stephan; Binder, Alexander; Montavon, Gregoire; Samek, Wojciech; Mueller, Klaus-Robert

Explaining the unique nature of individual gait patterns with deep learning

SCIENTIFIC REPORTS

IF3.9

2019-02-20

185

OAAI

Horst, Fabian; Lapuschkin, Sebastian; Samek, Wojciech; Mueller, Klaus-Robert; Schoellhorn, Wolfgang, I

研究方向