Search Results for author:
Found 2 papers, 2 papers with code
Multi-scale Feature Learning Dynamics: Insights for Double Descent
A key challenge in building theoretical foundations for deep learning is the complex optimization dynamics of neural networks, resulting from the high-dimensional interactions between the large number of network parameters.
LEAD: Min-Max Optimization from a Physical Perspective
A central obstacle in the optimization of such games is the rotational dynamics that hinder their convergence.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
