Showing results (1-10 of 156) with videos related to
Sort By:
Pageof 16
Entropy (Basel, Switzerland)|August 6, 2021
Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution GeneralizationTommaso Boccato, Alberto Testolin, Marco ZorziPhilosophical Transactions of the Royal Society of London. Series B, Biological Sciences|January 3, 2018
An emergentist perspective on the origin of number senseMarco Zorzi, Alberto TestolinFrontiers in Computational Neuroscience|July 29, 2016
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive FunctionsAlberto Testolin, Marco ZorziPsychological Research|December 3, 2024
Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer visionKuinan Hou, Marco Zorzi, Alberto TestolinPlos One|September 12, 2025
Visual enumeration remains challenging for multimodal generative AIAlberto Testolin, Kuinan Hou, Marco ZorziScientific Reports|January 22, 2025
Investigating the intrinsic top-down dynamics of deep generative modelsLorenzo Tausani, Alberto Testolin, Marco ZorziNature Human Behaviour|April 27, 2019
Letter perception emerges from unsupervised deep learning and recycling of natural image featuresAlberto Testolin, Ivilin Stoianov, Marco ZorziFrontiers in Psychology|August 24, 2013
Modeling language and cognition with deep unsupervised learning: a tutorial overviewMarco Zorzi, Alberto Testolin, Ivilin P StoianovScientific Reports|June 24, 2020
Visual sense of number vs. sense of magnitude in humans and machinesAlberto Testolin, Serena Dolfi, Mathijs Rochus, et al.Cognitive Science|June 16, 2015
Learning Orthographic Structure With Sequential Generative Neural NetworksAlberto Testolin, Ivilin Stoianov, Alessandro Sperduti, et al.Pageof 16