Kyung-Su Kim

Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel

Studying the loss landscapes of neural networks is critical to identifying generalizations and avoiding overconfident predictions. Flatness, which measures the perturbation resilience of pre-trained parameters for loss values, is widely acknowledged as an essential predictor of generalization. While…