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Paul Soulos
Paul Soulos
PhD Student in Cognitive Science, Johns Hopkins University
Adresse e-mail validée de jh.edu
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Discovering the compositional structure of vector representations with role learning networks
P Soulos, T McCoy, T Linzen, P Smolensky
arXiv preprint arXiv:1910.09113, 2019
372019
Learning hierarchical visual representations in deep neural networks using hierarchical linguistic labels
JC Peterson, P Soulos, A Nematzadeh, TL Griffiths
arXiv preprint arXiv:1805.07647, 2018
172018
Enriching transformers with structured tensor-product representations for abstractive summarization
Y Jiang, A Celikyilmaz, P Smolensky, P Soulos, S Rao, H Palangi, ...
arXiv preprint arXiv:2106.01317, 2021
122021
Context-aware system for providing fitness information
P Soulos, A Gale
US Patent App. 14/812,379, 2017
102017
Disentangled deep generative models reveal coding principles of the human face processing network
P Soulos, L Isik
PLOS Computational Biology 20 (2), e1011887, 2024
4*2024
Structural biases for improving transformers on translation into morphologically rich languages
P Soulos, S Rao, C Smith, E Rosen, A Celikyilmaz, RT McCoy, Y Jiang, ...
arXiv preprint arXiv:2208.06061, 2022
32022
Differentiable tree operations promote compositional generalization
P Soulos, EJ Hu, K McCurdy, Y Chen, R Fernandez, P Smolensky, J Gao
International Conference on Machine Learning, 32499-32520, 2023
12023
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