Scientific Research Publishing

KAN-Transformer Fusion with Mixture of Experts for Temporal Imputation of Spatiotemporal Air Pollution Data ()

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
YouTube on MSN

Parametric equations | Applications of trigonometry | Pre-calculus

In this lesson, we will discover parametric equations and how we will use the parameter to model certain functions and ...

Figuring out why AIs get flummoxed by some games

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in ...
YouTube on MSNOpinion

Learn how to eliminate the parameter with trig functions

Learn how to eliminate the parameter in a parametric equation. A parametric equation is a set of equations that express a set ...
IEEE

PGELU: Metaverse-Driven Deep Learning Boosted by A Parametric GELU for Stable and Scalable Recognition of Emotions and 3D Objects

Abstract: Metaverse applications necessitate advanced and versatile deep learning frameworks that can accommodate large-scale and continuously transforming data, such as three-dimensional objects, ...
GitHub

Learning Nonlinear Dynamics in Physical Modelling Synthesis using Neural Ordinary Differential Equations

audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...
IEEE

Dynamic Adaptive Parametric Social Network Analysis Using Reinforcement Learning: A Case Study in Topic-Aware Influence Maximization

Abstract: Current network analysis algorithms often rely on search methods or centrality measures but face challenges such as 1) The solution space is large, resulting in high computational complexity ...