Lukas Muttenthaler

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Natural Language Descriptions

Nearest Neighbour

Question Answering

Top Venues

Frontiers Neuroinformatics

Publications

Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
Set Learning for Accurate and Calibrated Models. ICLR (2024)
Florian P. Mahner, Lukas Muttenthaler, Umut Güçlü, Martin N. Hebart
Dimensions underlying the representational alignment of deep neural networks with humans. CoRR (2024)
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
Set Learning for Accurate and Calibrated Models. CoRR (2023)
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
Improving neural network representations using human similarity judgments. CoRR (2023)
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
Improving neural network representations using human similarity judgments. NeurIPS (2023)
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
Getting aligned on representational alignment. CoRR (2023)
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
Human alignment of neural network representations. ICLR (2023)
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
VICE: Variational Interpretable Concept Embeddings. NeurIPS (2022)
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
Human alignment of neural network representations. CoRR (2022)
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
VICE: Variational Interpretable Concept Embeddings. CoRR (2022)
Lukas Muttenthaler, Martin N. Hebart
THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks. Frontiers Neuroinformatics 15 (2021)
Lukas Muttenthaler, Nora Hollenstein, Maria Barrett
Human brain activity for machine attention. CoRR (2020)
Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva
Unsupervised Evaluation for Question Answering with Transformers. CoRR (2020)
Lukas Muttenthaler
Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity. CoRR (2020)
Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva
Unsupervised Evaluation for Question Answering with Transformers. BlackboxNLP@EMNLP (2020)
Hugo A. López, Morten Marquard, Lukas Muttenthaler, Rasmus Strømsted
Assisted Declarative Process Creation from Natural Language Descriptions. EDOC Workshops (2019)
Lukas Muttenthaler, Gordon Lucas, Janek Amann
Authorship Attribution in Fan-fictional Texts given Variable Length Character and Word n-grams. CLEF (Working Notes) (2019)