Author

Evgenia Rusak

University of TübingenORCID 0000-0001-6039-7781Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Andreas Savas ToliasiD· 1 shared Ankit PateliD· 1 shared Fabio AnselmiiD· 1 shared Josue Ortega CaroiD· 1 shared Matthias BethgeiD· 1 shared Wieland Brendel· 1 shared Xaq PitkowiD· 1 shared Zhe LiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperNeuroscience

Andreas Savas ToliasORCID

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1 paper

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedMar 27, 2023

Robust deep learning object recognition models rely on low frequency information in natural images

Zhe Li, Josue Ortega Caro, Evgenia Rusak…·Xaq Pitkow

This study shows that robust deep learning models for object recognition rely on low spatial frequency information, as evidenced by their performance on adversarial attacks and common corruptions.

37 citations

imagingdeep learning

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