3 papers
nlin.AO2025
A Categorical Framework for Quantifying Emergent Effects in Network Topology
Johnny Jingze Li, Sebastian Prado Guerra, Kalyan Basu +1
Emergent effect is crucial to understanding the properties of complex systems that do not appear in their basic units, but there has been a lack of theories to measure and understa…
cs.LG2025
Advancing Neural Network Performance through Emergence-Promoting Initialization Scheme
Johnny Jingze Li, Vivek Kurien George, Gabriel A. Silva
Emergence in machine learning refers to the spontaneous appearance of complex behaviors or capabilities that arise from the scale and structure of training data and model architect…
cs.LG2024
Quantifying Emergence in Neural Networks: Insights from Pruning and Training Dynamics
Faisal AlShinaifi, Zeyad Almoaigel, Johnny Jingze Li +2
Emergence, where complex behaviors develop from the interactions of simpler components within a network, plays a crucial role in enhancing neural network capabilities. We introduce…