Younghwan Chae

According to our database, Younghwan Chae authored at least 3 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2023

Gradient-only surrogate to resolve learning rates for robust and consistent training of deep neural networks.

Younghwan Chae, Daniel N. Wilke, Dominic Kafka

Appl. Intell., June, 2023

2021

GOALS: Gradient-Only Approximations for Line Searches Towards Robust and Consistent Training of Deep Neural Networks.

Younghwan Chae, Daniel N. Wilke, Dominic Kafka

CoRR, 2021

2019

Empirical study towards understanding line search approximations for training neural networks.

Younghwan Chae, Daniel N. Wilke

CoRR, 2019