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Paul Soulos
Paul Soulos
PhD Student in Cognitive Science, Johns Hopkins University
Verified email at jh.edu
Title
Cited by
Cited by
Year
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
362019
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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Articles 1–7