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Guillermo Puebla
Guillermo Puebla
Universidad de Tarapacá
Bestätigte E-Mail-Adresse bei bristol.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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 46, e385, 2023
1272023
A theory of relation learning and cross-domain generalization
LAA Doumas, G Puebla, AE Martin, JE Hummel
Psychological Review, 2022
46*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
32*2022
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
132023
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
112021
Inference and coherence in causal-based artifact categorization
G Puebla, SE Chaigneau
Cognition 130 (1), 50-65, 2014
112014
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
92020
The proper function of artifacts: intentions, conventions and causal inferences
SE Chaigneau, G Puebla
Review of Philosophy and Psychology 4, 391-406, 2013
92013
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
82016
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
62017
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
52017
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
32023
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, 2023
22023
Introducing the MindSet benchmark for comparing DNNs to human vision
V Biscione, D Yin, G Malhotra, M Dujmović, M Montero, G Puebla, ...
PsyArXiv, 2023
22023
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
12011
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
V Biscione, D Yin, G Malhotra, M Dujmovic, ML Montero, G Puebla, ...
arXiv preprint arXiv:2404.05290, 2024
2024
The role of conventionality and design in children’s function judgments about malfunctioning artifacts
FTK Fong, G Puebla, M Nielsen
Journal of Experimental Child Psychology 240, 105835, 2024
2024
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach
G Puebla, JS Bowers
arXiv preprint arXiv:2402.12675, 2024
2024
Rationally uncertain: investigating deviations from Explaining Away and Screening Off in
N Marchant, G Puebla, T Quillien
Proceedings of the Annual Meeting of the Cognitive Science Society, 46 (0), 2024
2024
Rationally uncertain: investigating deviations from Explaining Away and Screening Off in causal reasoning
N Marchant, G Puebla, T Quillien, SE Chaigneau
Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024
2024
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