Publications

Peer-reviewed

2023

Muttenthaler, L., Linhardt, L., Dippel, J., Vandermeulen, R. A., & Kornblith, S. (2023). Human alignment of neural network representations. In International Conference on Learning Representations, 11.

2022

Muttenthaler, L., Linhardt, L., Dippel, J., Vandermeulen, R. A., & Kornblith, S. (2022). Human alignment of neural network representations. In SVRHM 2022 Workshop@ NeurIPS.

Muttenthaler, L., Zheng, C. Y., McClure, P., Vandermeulen, R. A., Hebart, M. N., & Pereira, F. (2022). VICE: Variational Interpretable Concept Embeddings . Advances in Neural Information Processing Systems, 36.

2021

Muttenthaler, L., & Hebart, M., N., (2021). THINGSvision: a Python toolbox for streamlining the extraction of activations from deep neural networks . Frontiers in Neuroinformatics , 15:45. DOI: 10.3389/fninf.2021.679838

2020

Muttenthaler, L., Augenstein, I., & Bjerva, J. (2020). Unsupervised Evaluation of Question Answering with Transformers . In Proceedings of the 3rd BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP . pp. 83-90. Association for Computational Linguistics.

2019

López, H. A., Marquard, M., Muttenthaler, L., & Strømsted, R. (2019). Assisted Declarative Process Creation from Natural Language Descriptions . In 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW) , Paris, France, 2019, pp. 96-99. DOI: 10.1109/EDOCW.2019.00027

Muttenthaler, L., Lucas, G., & Amann, J. (2019). Authorship Attribution in Fan-Fictional Texts given Variable Length Character and Word n-grams . - Notebook for PAN at CLEF 2019. In Linda Cappellato, Nicola Ferro, David E. Losada and Henning Mueller, editors, CLEF 2019. Labs and Workshops, Notebook Papers, September 2019.

Buesel, C., Ditye, T., Muttenthaler, L., & Ansorge, U. (2019). A Novel Test of Pure Irrelevance-Induced Blindness . Frontiers in Psychology , 10:375. DOI: 10.3389/fpsyg.2019.00375

Muttenthaler, L. (2019). Effective Enhancement of Attentional Functions in the Amblyopic Brain . Journal of European Psychology Students, 10(1), pp. 1-10. DOI: 10.5334/jeps.435

Preprints

2022

Muttenthaler, L., Dippel, J., Linhardt, L., Vandermeulen, R. A., & Kornblith, S. (2022). Human alignment of neural network representations . arXiv preprint arXiv:2211.01201.

2021

Muttenthaler, L., & Hebart, M. N. (2021). THINGSvision: a Python toolbox for streamlining the extraction of activations from deep neural networks . bioRxiv. DOI: https://doi.org/10.1101/2021.03.11.434979

2020

Muttenthaler, L., Hollenstein, N., & Barrett, M. (2020). Human Brain Activity for Machine Attention . arXiv preprint arXiv:2006.05113.

Muttenthaler, L. (2020). Subjective Question Answering: Deciphering the Inner Workings of Transformers in the Realm of Subjectivity . arXiv preprint arXiv:2006.08342.