46 citations · 66 across the 7 of their papers we have counts for
8 papers
Neural Manifold Clustering and Embedding
Zengyi Li, Yubei Chen, Yann LeCun +1
Given a union of non-linear manifolds, non-linear subspace clustering or manifold clustering aims to cluster data points based on manifold structures and also learn to parameterize…
Disentangling images with Lie group transformations and sparse coding
Ho Yin Chau, Frank Qiu, Yubei Chen +1
Discrete spatial patterns and their continuous transformations are two important regularities contained in natural signals. Lie groups and representation theory are mathematical to…
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…
Orthogonal Convolutional Neural Networks
Jiayun Wang, Yubei Chen, Rudrasis Chakraborty +1
Deep convolutional neural networks are hindered by training instability and feature redundancy towards further performance improvement. A promising solution is to impose orthogonal…
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…
Word Embedding Visualization Via Dictionary Learning
Juexiao Zhang, Yubei Chen, Brian Cheung +1
Co-occurrence statistics based word embedding techniques have proved to be very useful in extracting the semantic and syntactic representation of words as low dimensional continuou…