5 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 5 cited
Bounds all around: training energy-based models with bidirectional bounds
Cong Geng, Jia Wang, Zhiyong Gao +2
Energy-based models (EBMs) provide an elegant framework for density estimation, but they are notoriously difficult to train. Recent work has established links to generative adversa…
cs.CV2020★ 1 cited
Generative Model without Prior Distribution Matching
Cong Geng, Jia Wang, Li Chen +1
Variational Autoencoder (VAE) and its variations are classic generative models by learning a low-dimensional latent representation to satisfy some prior distribution (e.g., Gaussia…
cs.CV2020★ 3 cited
Uniform Interpolation Constrained Geodesic Learning on Data Manifold
Cong Geng, Jia Wang, Li Chen +3
In this paper, we propose a method to learn a minimizing geodesic within a data manifold. Along the learned geodesic, our method can generate high-quality interpolations between tw…