Lukas Muttenthaler

According to our database, Lukas Muttenthaler authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

When Does Perceptual Alignment Benefit Vision Representations?

Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola

CoRR, 2024

Aligning Machine and Human Visual Representations across Abstraction Levels.

Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen

CoRR, 2024

Dimensions underlying the representational alignment of deep neural networks with humans.

Florian P. Mahner, Lukas Muttenthaler, Umut Güçlü, Martin N. Hebart

CoRR, 2024

Set Learning for Accurate and Calibrated Models.

Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Getting aligned on representational alignment.

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

CoRR, 2023

Improving neural network representations using human similarity judgments.

Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human alignment of neural network representations.

Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

VICE: Variational Interpretable Concept Embeddings.

Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks.

Lukas Muttenthaler, Martin N. Hebart

Frontiers Neuroinformatics, 2021

2020

Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity.

Lukas Muttenthaler

CoRR, 2020

Human brain activity for machine attention.

Lukas Muttenthaler, Nora Hollenstein, Maria Barrett

CoRR, 2020

Unsupervised Evaluation for Question Answering with Transformers.

Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019

Assisted Declarative Process Creation from Natural Language Descriptions.

Hugo A. López, Morten Marquard, Lukas Muttenthaler, Rasmus Strømsted

Proceedings of the 23rd IEEE International Enterprise Distributed Object Computing Workshop, 2019

Authorship Attribution in Fan-fictional Texts given Variable Length Character and Word n-grams.

Lukas Muttenthaler, Gordon Lucas, Janek Amann

Proceedings of the Working Notes of CLEF 2019, 2019