Publications

Visual ensemble representations in Deep Neural Networks trained for natural object recognition

Published in St. Pete Beach, FL, 2021

This project is about investigating the presence of ensemble representations like average size in Deep Neural Networks trained on the natural statistics of the work

Recommended citation: Suresh, S., & Ward, E. J. (2021). Visual ensemble representations in Deep Neural Networks trained for natural object recognition. Journal of Vision, 21(9), 2677-2677. https://jov.arvojournals.org/article.aspx?articleid=2777780

GrCluster: a score function to model hierarchy in knowledge graph embeddings

Published in Brno, Czech Republic, 2020

This paper is about a new score function for building embeddings that model hierarchical relationships in a knowledge graphs better

Recommended citation: Ranganathan, V., Suresh, S., Mathur, Y., Subramanyam, N., & Barbosa, D. (2020, March). Grcluster: a score function to model hierarchy in knowledge graph embeddings. In Proceedings of the 35th Annual ACM Symposium on Applied Computing (pp. 964-971). http://siddsuresh97.github.io/files/GrCluster.pdf