Paul Soulos

20172018201920202021202220232 2 6 15 14 21 3

Paul SmolenskyMicrosoft Research Redmond & Krieger-Eisenhower Professor of Cognitive Science, Johns HopkinsVerified email at jhu.edu
R. Thomas McCoyPostdoc in the Department of Computer Science, Princeton UniversityVerified email at princeton.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Aida NematzadehResearch Scientist, DeepMindVerified email at google.com
Tal LinzenNew York UniversityVerified email at nyu.edu
Hamid PalangiMicrosoft Research and University of WashingtonVerified email at microsoft.com
Sudha RaoMicrosoft ResearchVerified email at microsoft.com
Roland FernandezMicrosoft ResearchVerified email at microsoft.com
Asli CelikyilmazResearcher @ FAIR at Meta AIVerified email at ieee.org
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Yichen JiangUNC Chapel HillVerified email at cs.unc.edu

Paul Soulos

PhD Student in Cognitive Science, Johns Hopkins University

Verified email at jh.edu


Title Sort by citations Sort by year Sort by 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	28	2019
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	17	2018
Context-aware system for providing fitness information P Soulos, A Gale US Patent App. 14/812,379, 2017	9	2017
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	6	2021
Disentangled face representations in deep generative models and the human brain P Soulos, L Isik NeurIPS 2020 Workshop SVRHM, 2020	2	2020
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	1	2022
Disentangled deep generative models reveal coding principles of the human face processing network P Soulos, L Isik bioRxiv, 2023.02. 15.528489, 2023		2023

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