Guillermo Puebla
Guillermo Puebla
Centro Nacional de Inteligencia Artificial
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Deep problems with neural network models of human vision
JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ...
Behavioral and Brain Sciences, 1-74, 2022
A theory of relation learning and cross-domain generalization
LAA Doumas, G Puebla, AE Martin, JE Hummel
Psychological Review, 2022
Can deep convolutional neural networks support relational reasoning in the same-different task?
G Puebla, JS Bowers
Journal of Vision 22 (11), 1-18, 2022
The relational processing limits of classic and contemporary neural network models of language processing
G Puebla, AE Martin, LAA Doumas
Language, Cognition and Neuroscience 36 (2), 240-254, 2021
Inference and coherence in causal-based artifact categorization
G Puebla, SE Chaigneau
Cognition 130 (1), 50-65, 2014
Relation learning in a neurocomputational architecture supports cross-domain transfer
LAA Doumas, G Puebla, AE Martin, JE Hummel
Proceedings of the 42nd Annual Conference of the Cognitive Science Society …, 2020
The proper function of artifacts: intentions, conventions and causal inferences
SE Chaigneau, G Puebla
Review of Philosophy and Psychology 4, 391-406, 2013
A theory of the detection and learning of structured representations of similarity and relative magnitude
LAA Doumas, A Hamer, G Puebla, AE Martin
The 39th annual conference of the cognitive science society (cogsci 2017 …, 2017
How we learn things we don’t know already: A theory of learning structured representations from experience
LAA Doumas, G Puebla, AE Martin
bioRxiv, 198804, 2017
Why Designer's intended function is central for proper function assignment and artifact conceptualization: Essentialist and Normative accounts
S Chaigneau, G Puebla, E Canessa
Developmental Review 41, 38-50, 2016
On the importance of severely testing deep learning models of cognition
JS Bowers, G Malhotra, F Adolfi, M Dujmović, ML Montero, V Biscione, ...
Cognitive Systems Research 82, 101158, 2023
The role of object-centric representations, guided attention, and external memory on generalizing visual relations
G Puebla, JS Bowers
arXiv preprint arXiv:2304.07091, 2023
Introducing the MindSet benchmark for comparing DNNs to human vision
V Biscione, D Yin, G Malhotra, M Dujmović, M Montero, G Puebla, ...
PsyArXiv, 2023
Is the Centrality of Design History Function an Effect of Causal Knowledge?
G Puebla-Ramírez, S Chaigneau
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
The Role of Conventionality and Design in Children’s Function Judgments About Malfunctioning Artifacts
FTK Fong, G Puebla, M Nielsen
PsyArXiv, 2023
Disagreement and confusion over the status of DNNs as models of vision
JS Bowers, G Malhotra, M Dujmović, M Montero, C Tsvetkov, G Puebla, ...
PsyArXiv, 2023
Clarifying status of DNNs as models of human vision
JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ...
Behavioral and Brain Sciences 46, e415, 2023
Relation learning and reasoning on computational models of high level cognition
GA Puebla Ramírez
The University of Edinburgh, 2022
Learning Relational Rules from Rewards
G Puebla, LAA Doumas
arXiv preprint arXiv:2203.13599, 2022
Predicate learning via neural oscillations supports one-shot generalization between video games
LAA Doumas, G Puebla, JE Hummel, AE Martin
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