2 citations · 3 across the 4 of their papers we have counts for
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Rarity of Singletons Matters & Supplementary Materials
Pragatheeswaran Vipulanandan, Kamal Premaratne, Dilip Sarkar
Estimating missing-mass and unseen-species counts from finite samples relies heavily on rare-event occupancy statistics, particularly singletons. In small-sample regimes, these sta…
Embedding Graph Kernel Entropy (EGKE): Fine-grained Hallucination Detection for LLMs from Embeddings
Dilrangi Sankalpana, Pragatheeswaran Vipulanandan, Uthayasanker Thayasivam +1
Hallucination detection is critical for ensuring the reliability of Large Language Models (LLMs) in real-world deployments. While recent works, such as Semantic Entropy (SE) and Ke…
A Quantum Tensor Network-Based Viewpoint for Modeling and Analysis of Time Series Data
Pragatheeswaran Vipulananthan, Kamal Premaratne, Dilip Sarkar +1
Accurate uncertainty quantification is a critical challenge in machine learning. While neural networks are highly versatile and capable of learning complex patterns, they often lac…