Deep Learning

We study the training dynamics of GANs with kernel discriminators, which gives rise to new theory behind commonly observed phenomena such as mode collapse.

Analyzing the rotation invariance of the L2HMC Hamiltonian Monte Carlo sampler with neural network dynamics