30 citations · 34 across the 4 of their papers we have counts for
3 papers
Generative Adversarial Parallelization
Daniel Jiwoong Im, He Ma, Chris Dongjoo Kim +1
Generative Adversarial Networks have become one of the most studied frameworks for unsupervised learning due to their intuitive formulation. They have also been shown to be capable…
Neural Network Regularization via Robust Weight Factorization
Jan Rudy, Weiguang Ding, Daniel Jiwoong Im +1
Regularization is essential when training large neural networks. As deep neural networks can be mathematically interpreted as universal function approximators, they are effective a…
Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics
Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor
Energy-based models are popular in machine learning due to the elegance of their formulation and their relationship to statistical physics. Among these, the Restricted Boltzmann Ma…