Functional Model

Functional models aim to represent complex relationships as mathematical functions, enabling efficient prediction and analysis of diverse data types, from human faces and graph structures to time series and energy consumption. Current research focuses on developing and evaluating these models across various domains, employing techniques like Bayesian inference, neural networks, and functional data analysis to improve accuracy, robustness, and efficiency. This work is significant for its applications in diverse fields, including privacy-preserving data release, improved AI algorithms, and optimized resource management in areas like smart grids.