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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Siddharth Suresh
About me
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Posts
Future Blog Post
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How to make a personal website?
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Insert opening and motivation
Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
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
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
Behavioral estimates of conceptual structure are robust across tasks in humans but not large language models
Published in Singapore, 2023
This paper is about estimating conceptual structure in humans and language models using different behavorial tasks. We find that human conceptual structure is coherent across all tasks suggesting that humans have a conceptual core. However, we find the opposite in LLMs. In other words, LLMs do not have a conceptual core and are very sensitive to the context. Moreover, we also find that there are certain ways of prompting LLMs that can make them more human-like.
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/emnlp2023.pdf
talks
Visual ensemble representations emerge in a Deep Neural Network trained on natural images
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This talk was given at the Neuromatch Conference.
Visual ensemble representations emerge in a Deep Neural Network trained on natural images
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This talk was given as a part of the HAMLET seminar series which caters to academics interested in the intersection of Cognitive Science and Artificial Intelligence.
Visual ensemble representations in Deep Neural Networks trained for natural object recognition
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My first time presenting at VSS. More information here
Visual ensemble representations in Deep Neural Networks trained for natural object recognition
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Gave a talk at the McPherson Eye Research Institute. More information here
Tutorial on using Deep Learning Models to run psychology experiments
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This talk was catered to students who participated in the undergraduate summer research program PREP offered by the department of psychology at University of Wisconsin - Madison. As part of the data science workshop, I talked about how students could use Convolutional Neural Networks to run psychophysics experiments in their research. I also talked about how Large Language Models (like GPT-3) could be used to run feature listing tasks and triplet matching tasks in order to compare conceptual representations from humans and large language models.
teaching
Lead Teaching Assistant
NMA Deep Learning Summer school, Neuromatch Academy Deep Learning summer school 2021, 2021
- Taught summer school content to 15 students for three weeks.
- Managed the activities of 7 junior TAs during the summer school.