Lukas Muttenthaler

27 papers A* 6Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Atlas 2 - Foundation models for clinical deployment.
CoRR
Maximilian Alber, Timo Milbich, Alexandra Carpen-Amarie, Stephan Tietz, Jonas Dippel, Lukas Muttenthaler, Beatriz Perez Cancer, Alessandro Benetti, Panos Korfiatis, Elias Eulig, Jérôme Lüscher, Jiasen Wu, Sayed Abid Hashimi, Gabriel Dernbach, Simon Schallenberg, Neelay Shah, Moritz Krügener, Aniruddh Jammoria, Jake Matras, Patrick Duffy, Matt Redlon, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Andrew P. Norgan
2026 J jnl
Beyond the final layer: Attentive multilayer fusion for vision transformers.
CoRR
Laure Ciernik, Marco Morik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler
2025 J jnl
Aligning machine and human visual representations across abstraction levels.
Nat.
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2025 J jnl
Getting aligned on representational alignment.
Trans. Mach. Learn. Res.
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025 A* conf
Objective drives the consistency of representational similarity across datasets.
ICML
Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
2025 — —
Representational alignment of humans and machines for computer vision.
Lukas Muttenthaler
2024 J jnl
Aligning Machine and Human Visual Representations across Abstraction Levels.
CoRR
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2024 J jnl
Dimensions underlying the representational alignment of deep neural networks with humans.
CoRR
Florian P. Mahner, Lukas Muttenthaler, Umut Güçlü, Martin N. Hebart
2024 A* conf
Set Learning for Accurate and Calibrated Models.
ICLR
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
2024 J jnl
Training objective drives the consistency of representational similarity across datasets.
CoRR
Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
2024 J jnl
When Does Perceptual Alignment Benefit Vision Representations?
CoRR
Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
2024 A* conf
When does perceptual alignment benefit vision representations?
NeurIPS
Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
2023 J jnl
Getting aligned on representational alignment.
CoRR
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
2023 A* conf
Human alignment of neural network representations.
ICLR
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
2023 A* conf
Improving neural network representations using human similarity judgments.
NeurIPS
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
2023 J jnl
Improving neural network representations using human similarity judgments.
CoRR
Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
2023 J jnl
Set Learning for Accurate and Calibrated Models.
CoRR
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
2022 J jnl
Human alignment of neural network representations.
CoRR
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
2022 A* conf
VICE: Variational Interpretable Concept Embeddings.
NeurIPS
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
2022 J jnl
VICE: Variational Interpretable Concept Embeddings.
CoRR
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
2021 J jnl
THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks.
Frontiers Neuroinformatics
Lukas Muttenthaler, Martin N. Hebart
2020 J jnl
Human brain activity for machine attention.
CoRR
Lukas Muttenthaler, Nora Hollenstein, Maria Barrett
2020 J jnl
Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity.
CoRR
Lukas Muttenthaler
2020 — conf
Unsupervised Evaluation for Question Answering with Transformers.
BlackboxNLP@EMNLP
Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva
2020 J jnl
Unsupervised Evaluation for Question Answering with Transformers.
CoRR
Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva
2019 — conf
Assisted Declarative Process Creation from Natural Language Descriptions.
EDOC Workshops
Hugo A. López, Morten Marquard, Lukas Muttenthaler, Rasmus Strømsted
2019 — conf
Authorship Attribution in Fan-fictional Texts given Variable Length Character and Word n-grams.
CLEF (Working Notes)
Lukas Muttenthaler, Gordon Lucas, Janek Amann