9 citations · 12 across the 4 of their papers we have counts for
4 papers
Art or Artifice? Large Language Models and the False Promise of Creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal +2
Researchers have argued that large language models (LLMs) exhibit high-quality writing capabilities from blogs to stories. However, evaluating objectively the creativity of a piece…
Feature Selection in High-dimensional Spaces Using Graph-Based Methods
Swarnadip Ghosh, Somabha Mukherjee, Divyansh Agarwal +3
High-dimensional feature selection is a central problem in a variety of application domains such as machine learning, image analysis, and genomics. In this paper, we propose graph-…
Distribution-Free Multisample Test Based on Optimal Matching with Applications to Single Cell Genomics
Divyansh Agarwal, Somabha Mukherjee, Bhaswar Bikram Bhattacharya +1
In this paper we propose a nonparametric graphical test based on optimal matching, for assessing the equality of multiple unknown multivariate probability distributions. Our proced…
Semblance: A Rank-Based Kernel on Probability Spaces for Niche Detection
Divyansh Agarwal, Nancy R. Zhang
In data science, determining proximity between observations is critical to many downstream analyses such as clustering, information retrieval and classification. However, when the…