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Disambiguation of "Lapuschkin, Sebastian"

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Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations.

, , , , , and . CVPR, page 16143-16152. IEEE, (2023)

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Sebastian Baum

Optimierung der Pharmakotherapie von geriatrischen Patienten im stationären Bereich durch pharmazeutische Betreuung. Uni Münster, (2009)

Sebastian Korff

Untersuchung von Marker-Genen bei Mikrosatelliten-instabilen Tumoren und Entwicklung eines Computer-Verfahrens zur Hochdurchsatzanalyse von Fragmentanalysen aus humanen Mikrosatelliten-instabilen Tumoren. Uni Heidelberg, (2009)

Sebastian Strauch

Euglena gracilis als Sauerstoffproduzent eines bioregenerativen Lebenserhaltungssystems und ihre physiologische Reaktion auf Änderungen der Schwerkraft. Uni Erlangen-Nürnberg, (2009)

Sebastian Traunmüller

The neopalatial pottery from the ceramic workshop at Zominthos and its implications for Minoan relative chronology. Uni Heidelberg, (2009)

Sebastian Birk

Intercalibration of national methods to assess the ecological quality of rivers in Europe using benthic invertebrates and aquatic flora. Uni Duisburg-Essen, (2009)
 

Other publications of authors with the same name

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations., , , , , and . CVPR, page 16143-16152. IEEE, (2023)Pruning by explaining: A novel criterion for deep neural network pruning., , , , , , and . Pattern Recognit., (2021)Explain and improve: LRP-inference fine-tuning for image captioning models., , , and . Inf. Fusion, (2022)Opening the machine learning black box with Layer-wise Relevance Propagation.. Technical University of Berlin, Germany, (2019)Explainable AI for time series via Virtual Inspection Layers., , , and . Pattern Recognit., (2024)iNNvestigate Neural Networks!, , , , , , , , , and . J. Mach. Learn. Res., (2019)Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond., , , , , , , and . J. Mach. Learn. Res., (2023)Generative Fractional Diffusion Models., , , , , , , , , and 1 other author(s). CoRR, (2023)Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations., , , and . CoRR, (2023)Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification., , , , , and . Gaze Meets ML, volume 210 of Proceedings of Machine Learning Research, page 66-97. PMLR, (2022)