Explores the provable benefits of overparameterization in model compression, emphasizing the efficiency of deep neural networks and the importance of retraining for improved performance.
Discusses axial constraints and material deformations in structural engineering, focusing on stress, strain, and the behavior of materials under various loading conditions.
Covers Principal Component Analysis for dimensionality reduction, exploring its applications, limitations, and importance of choosing the right components.
