5 papers
Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning
Ranjith Chodavarapu
Rapid and accurate wildfire smoke severity assessment from satellite images is essential for emergency response, air quality modeling, and human health risk management. Existing de…
Probabilistic Dating of Historical Manuscripts via Evidential Deep Regression on Visual Script Features
Ranjith Chodavarapu
We introduce a probabilistic approach for dating historical manuscript pages from visual features alone. Instead of aggregating centuries into classes as is standard in the previou…
The Illusion of Equivalence: Systematic FP16 Divergence in KV-Cached Autoregressive Inference
Ranjith Chodavarapu, Lei Xu
KV caching is a ubiquitous optimization in autoregressive transformer inference, long presumed to be numerically equivalent to cache-free computation. This assumption fails under s…
Evaluating the Quality of Randomness and Entropy in Tasks Supported by Large Language Models
Rabimba Karanjai, Yang Lu, Ranjith Chodavarapu +2
The rapid advancement of large language model (LLM) technology has led to diverse applications, many of which inherently require randomness, such as stochastic decision-making, gam…
Adding All Flavors: A Hybrid Random Number Generator for dApps and Web3
Ranjith Chodavarapu, Rabimba Karanjai, Xinxin Fan +2
Random numbers play a vital role in many decentralized applications (dApps), such as gaming and decentralized finance (DeFi) applications. Existing random number provision mechanis…