10 citations · 10 across the 1 of their papers we have counts for
3 papers
stat.ML2018
Rotation Equivariance and Invariance in Convolutional Neural Networks
Benjamin Chidester, Minh N. Do, Jian Ma
Performance of neural networks can be significantly improved by encoding known invariance for particular tasks. Many image classification tasks, such as those related to cellular i…
eess.SP2018
Correlating Cellular Features with Gene Expression using CCA
Vaishnavi Subramanian, Benjamin Chidester, Jian Ma +1
To understand the biology of cancer, joint analysis of multiple data modalities, including imaging and genomics, is crucial. The involved nature of gene-microenvironment interactio…
stat.ML2017★ 10 cited
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations
Pan Xu, Jian Ma, Quanquan Gu
We study the estimation of the latent variable Gaussian graphical model (LVGGM), where the precision matrix is the superposition of a sparse matrix and a low-rank matrix. In order…