Publications of Lukas Muttenthaler

Mahner, F.; Muttenthaler, L.; Güçlü, U.; Hebart, M. N.: Dimensions underlying the representational alignment of deep neural networks with humans. Nature Machine Intelligence 7 (6), pp. 848 - 859 (2025)

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)

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

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)

Muttenthaler, L.; Zheng, C. Y.; McClure, P.; Vandermeulen, R. A.; Hebart, M. N.; Pereira, F.: VICE: Variational Interpretable Concept Embeddings. arXiv (2022)