5 citations · 12 across the 35 of their papers we have counts for
4 papers · 1 filter
Uncovering Hierarchical Structure in LLM Embeddings Using Geometric and Topological Measures
Prakash Chourasia, Sarwan Ali, Murray Patterson +1
The rapid advancement of large language models (LLMs) has driven major advances across scientific domains, yet the hierarchical, geometric, and topological structure of their embed…
Boosting t-SNE Efficiency for Sequencing Data: Insights from Kernel Selection
Avais Jan, Prakash Chourasia, Sarwan Ali +1
Dimensionality reduction techniques are essential for visualizing and analyzing high-dimensional biological sequencing data. t-distributed Stochastic Neighbor Embedding (t-SNE) is…
Breaking the Euclidean Barrier: Hyperboloid-Based Biological Sequence Analysis
Sarwan Ali, Haris Mansoor, Murray Patterson
Genomic sequence analysis plays a crucial role in various scientific and medical domains. Traditional machine-learning approaches often struggle to capture the complex relationship…
Sequence Analysis Using the Bezier Curve
Taslim Murad, Sarwan Ali, Murray Patterson
The analysis of sequences (e.g., protein, DNA, and SMILES string) is essential for disease diagnosis, biomaterial engineering, genetic engineering, and drug discovery domains. Conv…