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ORCIDLukas Muttenthaler
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2020 – today
- 2024
[c7]Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller:
Set Learning for Accurate and Calibrated Models. ICLR 2024- [i11]Florian P. Mahner, Lukas Muttenthaler, Umut Güçlü, Martin N. Hebart:
Dimensions underlying the representational alignment of deep neural networks with humans. CoRR abs/2406.19087 (2024) - [i10]Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen:
Aligning Machine and Human Visual Representations across Abstraction Levels. CoRR abs/2409.06509 (2024) - [i9]Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola:
When Does Perceptual Alignment Benefit Vision Representations? CoRR abs/2410.10817 (2024) - 2023
- [c6]Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen
, Simon Kornblith:
Human alignment of neural network representations. ICLR 2023 - [c5]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 - [i8]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 abs/2306.04507 (2023) - [i7]Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller:
Set Learning for Accurate and Calibrated Models. CoRR abs/2307.02245 (2023) - [i6]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 abs/2310.13018 (2023) - 2022
- [c4]Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira:
VICE: Variational Interpretable Concept Embeddings. NeurIPS 2022 - [i5]Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira:
VICE: Variational Interpretable Concept Embeddings. CoRR abs/2205.00756 (2022) - [i4]Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith:
Human alignment of neural network representations. CoRR abs/2211.01201 (2022) - 2021
- [j1]Lukas Muttenthaler, Martin N. Hebart:
THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks. Frontiers Neuroinformatics 15: 679838 (2021) - 2020
- [c3]Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva:
Unsupervised Evaluation for Question Answering with Transformers. BlackboxNLP@EMNLP 2020: 83-90 - [i3]Lukas Muttenthaler, Nora Hollenstein, Maria Barrett:
Human brain activity for machine attention. CoRR abs/2006.05113 (2020) - [i2]Lukas Muttenthaler:
Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity. CoRR abs/2006.08342 (2020) - [i1]Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva:
Unsupervised Evaluation for Question Answering with Transformers. CoRR abs/2010.03222 (2020)
2010 – 2019
- 2019
- [c2]Lukas Muttenthaler, Gordon Lucas, Janek Amann:
Authorship Attribution in Fan-fictional Texts given Variable Length Character and Word n-grams. CLEF (Working Notes) 2019 - [c1]Hugo A. López, Morten Marquard, Lukas Muttenthaler, Rasmus Strømsted:
Assisted Declarative Process Creation from Natural Language Descriptions. EDOC Workshops 2019: 96-99
Coauthor Index
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