Biraj Dahal

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

Deep generative models have experienced great empirical successes in distribution learning. Many existing experiments have demonstrated that deep generative networks can efficiently generate high-dimensional complex data from a low-dimensional easy-to-sample distribution. However, this phenomenon ca…