Soo-Mook Moon

Static, Initialization-based Layer-wise Learning Rates

Rethinking Regularization in Federated Learning: An Initialization Perspective

Revisiting the Role of Homophily in Fair Graph Representation Learning

Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More

Initializing the Layer-wise Learning Rate