22 citations · 38 across the 4 of their papers we have counts for
5 papers
Vision Models Capture Complementary Representations in Children That Converge in Adults
Domenic Bersch, Timothy Schaumlöffel, Michela Proietti +11
How the relationship between image-text aligned and vision-only models changes across development remains unknown. We applied time-resolved representational similarity analysis to…
The Algonauts Project 2025 Challenge: How the Human Brain Makes Sense of Multimodal Movies
Alessandro T. Gifford, Domenic Bersch, Marie St-Laurent +6
There is growing symbiosis between artificial and biological intelligence sciences: neural principles inspire new intelligent machines, which are in turn used to advance our theore…
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes
A. T. Gifford, B. Lahner, S. Saba-Sadiya +6
The sciences of biological and artificial intelligence are ever more intertwined. Neural computational principles inspire new intelligent machines, which are in turn used to advanc…
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI
Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund +2
Assessing the trustworthiness of artificial intelligence systems requires knowledge from many different disciplines. These disciplines do not necessarily share concepts between the…
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
Domenic Bersch, Kshitij Dwivedi, Martina Vilas +2
We introduce Net2Brain, a graphical and command-line user interface toolbox for comparing the representational spaces of artificial deep neural networks (DNNs) and human brain reco…