Publications of Lukas Muttenthaler

Muttenthaler, L., & Hebart, M. N. (2021). THINGSvision: A Python toolbox for streamlining the extraction of activations from deep neural networks. Frontiers in Neuroinformatics, 15. doi:10.3389/fninf.2021.679838

Muttenthaler, L. Interpretable object dimensions in humans and deep convolutional neural networks. Talk_at_event presented at the Meeting, TU Berlin, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-000B-2CD3-6

Mahner, F., Muttenthaler, L., Güçlü, U., & Hebart, M. N. Dimensions that matter: Interpretable object dimensions in humans and deep neural networks. Poster presented at the 6th Annual Conference on Cognitive Computational Neuroscience (CCN), Oxford, United Kingdom. Retrieved from http://hdl.handle.net/21.11116/0000-000E-7612-9

Muttenthaler, L., Zheng, C. Y., McClure, P., Vandermeulen, R. A., Hebart, M. N., & Pereira, F. (2022, May 30). VICE: Variational Interpretable Concept Embeddings. ArXiv. doi:10.48550/arXiv.2205.00756