Projects Publications

Peacs: Prefix encoding for auditory caption synthesis
T Schaumlöffel, MG Vilas, G Roig
In the Proceedings of Detection Classification Acoust. Scenes Events Challenge, 1-3 (2023)

Analyzing Vision Transformers for Image Classification in Class Embedding Space
MG Vilas, T Schaumlöffel, G Roig
In the Proceeding of NeurIPS (2023)

Joint processing of linguistic properties in brains and language models
SR Oota, M Gupta, M Toneva
In Proceedings of NeurIPS (2023)

Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play
T Schaumlöffel, A Aubret, G Roig, J Triesch (* shared first authorship)
IEEE International Conference on Development and Learning (2023) (ICDL)

Background Publications

Self-Supervised Learning of Color Constancy
Markus R. Ernst, Francisco M. López, Arthur Aubret, Roland W. Fleming, Jochen Triesch
IEEE International Conference on Development and Learning (ICDL 2024)

Learning Object Semantic Similarity with Self-Supervision
Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch
IEEE International Conference on Development and Learning (ICDL 2024)

Visual features are processed before navigational affordances in the human brain
K. Dwivedi, S. Sadiya, M.P. Balode, et al.
Sci Rep 14, 5573 (2024)

Traces of meaning itself: Encoding distributional word vectors in brain activity
J Sassenhagen, CJ Fiebach
Neurobiology of Language (2022)

Net2Brain: A Toolbox to compare artificial vision models with human brain responses. Conference on Cognitive computational Neuroscience
D Bersch, K Dwivedi, M Vilas, RM Cichy, G Roig
arXiv (2022)

Combining computational controls with natural text reveals aspects of meaning composition
M Toneva, T Mitchell, L Wehbe
Nature Computational Science (2022)

Unveiling functions of the visual cortex using task-specific deep neural networks
K Dwivedi, MF Bonner, RM Cichy, G Roig
PLoS Computational Biology (2021)

Unraveling representations in scene-selective brain regions using scene-parsing deep neural networks
K Dwivedi, RM Cichy, G Roig
Journal of Cognitive Neuroscience (2021)

Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
M Toneva, L Wehbe
In Proceedings of NeurIPS (2019)

Inducing brain-relevant bias in natural language processing models
D Schwartz, M Toneva, L Wehbe
In Proceedings of NeurIPS (2019)