46 citations · 67 across the 11 of their papers we have counts for
3 papers · 1 filter
A Neural Network MCMC sampler that maximizes Proposal Entropy
Zengyi Li, Yubei Chen, Friedrich T. Sommer
Markov Chain Monte Carlo (MCMC) methods sample from unnormalized probability distributions and offer guarantees of exact sampling. However, in the continuous case, unfavorable geom…
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching
Zengyi Li, Yubei Chen, Friedrich T. Sommer
Energy-Based Models (EBMs) assign unnormalized log-probability to data samples. This functionality has a variety of applications, such as sample synthesis, data denoising, sample r…
The Sparse Manifold Transform
Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen
We present a signal representation framework called the sparse manifold transform that combines key ideas from sparse coding, manifold learning, and slow feature analysis. It turns…