Lukas Muttenthaler

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Martin N. HebartJustus Liebig University, Giessen, GermanyVerified email at psychiat.med.uni-giessen.de
Robert A. VandermeulenTechnische Universität Berlin & BIFOLDVerified email at tu-berlin.de
Simon KornblithAnthropicVerified email at anthropic.com
Lorenz LinhardtTU BerlinVerified email at campus.tu-berlin.de
Francisco PereiraMachine Learning Team, National Institute of Mental HealthVerified email at nih.gov
Katherine L. HermannGoogle DeepMindVerified email at stanford.edu
Hugo Andrés LópezAssociate Professor, Technical University of DenmarkVerified email at dtu.dk
Maria BarrettPost doc, IT University of CopenhagenVerified email at itu.dk
Nora HollensteinUniversity of CopenhagenVerified email at hum.ku.dk
Patrick McClureMachine Learning Team, National Institute of Mental HealthVerified email at nih.gov
Charles Yang ZhengNational Institute of Mental HealthVerified email at nih.gov
Andrew Kyle LampinenResearch Scientist, DeepMindVerified email at google.com
Johannes BjervaAssociate Professor, Department of Computer Science, Aalborg UniversityVerified email at cs.aau.dk
Isabelle AugensteinFull Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Ulrich AnsorgeProfessor of Cognitive Psychology, University of ViennaVerified email at univie.ac.at
Thomas UnterthinerGoogle DeepMindVerified email at pm.me
Klaus-Robert MüllerGoogle Deepmind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Umut GüçlüPrincipal Investigator, Donders Institute for Brain, Cognition and BehaviourVerified email at donders.ru.nl

Lukas Muttenthaler

TU Berlin & Google DeepMind & Max-Planck-Institute for Human Cognitive and Brain Sciences

Verified email at tu-berlin.de - Homepage

Machine Learning Representation Learning AI Alignment Computer Vision Cognitive Science


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THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks L Muttenthaler, MN Hebart Frontiers in Neuroinformatics 15, 45, 2021	30	2021
Human alignment of neural network representations L Muttenthaler, J Dippel, L Linhardt, RA Vandermeulen, S Kornblith International Conference on Learning Representations (ICLR) 11, 2023	27	2023
Authorship Attribution in Fan-Fictional Texts given variable length Character and Word N-Grams L Muttenthaler, G Lucas, J Amann CEUR Workshop Proceedings, 2019	25*	2019
Assisted declarative process creation from natural language descriptions HA López, M Marquard, L Muttenthaler, R Strømsted 2019 IEEE 23rd International Enterprise Distributed Object Computing …, 2019	20	2019
Getting aligned on representational alignment I Sucholutsky, L Muttenthaler, A Weller, A Peng, A Bobu, B Kim, ... arXiv preprint arXiv:2310.13018, 2023	17	2023
Human brain activity for machine attention L Muttenthaler, N Hollenstein, M Barrett arXiv preprint arXiv:2006.05113, 2020	17	2020
VICE: Variational Interpretable Concept Embeddings L Muttenthaler, CY Zheng, P McClure, RA Vandermeulen, MN Hebart, ... Advances in Neural Information Processing Systems (NeurIPS) 35, 2022	13	2022
Improving neural network representations using human similarity judgments L Muttenthaler, L Linhardt, J Dippel, RA Vandermeulen, K Hermann, ... Advances in Neural Information Processing Systems (NeurIPS) 36, 2023	9	2023
Unsupervised Evaluation for Question Answering with Transformers L Muttenthaler, I Augenstein, J Bjerva Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …, 2020	5	2020
Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity L Muttenthaler arXiv preprint arXiv:2006.08342, 2020	1	2020
A Novel Test of Pure Irrelevance-Induced Blindness C Büsel, T Ditye, L Muttenthaler, U Ansorge Frontiers in Psychology 10, 375, 2019	1	2019
Set Learning for Accurate and Calibrated Models L Muttenthaler, RA Vandermeulen, Q Zhang, T Unterthiner, KR Müller International Conference on Learning Representations (ICLR) 12, 2024		2024
Dimensions That Matter – Interpretable Object Dimensions in Humans and Deep Neural Networks FP Mahner, L Muttenthaler, U Güçlü, MN Hebart Conference on Cognitive Computational Neuroscience (CCN 2023), 2023		2023
Interpretable object dimensions in deep neural networks and their similarities to human representations L Muttenthaler, MN Hebart Oral @ 22nd Annual Meeting of the Vision Sciences Society (VSS 2022) 22 (14 …, 2022		2022
Effective enhancement of attentional functions in the amblyopic brain. L Muttenthaler Journal of European Psychology Students 10 (1), 2019		2019
First Workshop on Representational Alignment (Re-Align) E Grant, I Sucholutsky, J Achterberg, K Hermann, L Muttenthaler ICLR 2024 Workshops, 0
Compositional Skills of Recurrent Neural Networks L Muttenthaler

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