IEEE

Bayesian Optimization-Aided Hybrid Deep Learning Model for Lightweight UAV-Based Smoke Detection

Abstract: Uncrewed aerial vehicles (UAVs) play a crucial role in various applications, including detecting environmental hazards, e.g., wildfire smoke detection. However, the limited computational ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
IEEE

Adapting LLMs for High-Dimensional Bayesian Optimization

Abstract: Traditional Gaussian process surrogates fall short in coping with high-dimensional Bayesian optimization (HDBO) with irregular variables. We propose LoRA-VBLL, a novel framework that adapts ...