from left to right: Carla Martin, Aarushi Juyal, Zijian Feng, Rosa Großmann, Karsten Müller, Srividya Athur Sundaram, Lioba Enk, Xia Zhang. not displayed (in alphabetical order): Konrad Endres, Kim Hoffmann, Dimitra Kiakou, Aaron Miller.

Publications of Lukas Muttenthaler

Journal Article (1)

2021
Journal Article
Muttenthaler, L.; Hebart, M. N.: THINGSvision: A Python toolbox for streamlining the extraction of activations from deep neural networks. Frontiers in Neuroinformatics 15, 679838 (2021)
MPG.PuRe
DOI
publisher-version

Talk (1)

2021
Talk
Muttenthaler, L.: Interpretable object dimensions in humans and deep convolutional neural networks. Meeting, TU Berlin, Germany (2021)
MPG.PuRe

Poster (1)

2023
Poster
Mahner, F.; Muttenthaler, L.; Güçlü, U.; Hebart, M. N.: Dimensions that matter: Interpretable object dimensions in humans and deep neural networks. 6th Annual Conference on Cognitive Computational Neuroscience (CCN), Oxford, United Kingdom (2023)
MPG.PuRe

Preprint (1)

2022
Preprint
Muttenthaler, L.; Zheng, C. Y.; McClure, P.; Vandermeulen, R. A.; Hebart, M. N.; Pereira, F.: VICE: Variational Interpretable Concept Embeddings. arXiv (2022)
MPG.PuRe
DOI
pre-print
Web-View
Print Page
Open in new window
Estimated DIN-A4 page-width
Go to Editor View