502 citations · 1.3k across the 19 of their papers we have counts for
3 papers · 1 filter
ergm 4: New features
Pavel N. Krivitsky, David R. Hunter, Martina Morris +1
The ergm package supports the statistical analysis and simulation of network data. It anchors the statnet suite of packages for network analysis in R introduced in a special issue…
Bayesian graph convolutional neural networks via tempered MCMC
Rohitash Chandra, Ayush Bhagat, Manavendra Maharana +1
Deep learning models, such as convolutional neural networks, have long been applied to image and multi-media tasks, particularly those with structured data. More recently, there ha…
Revisiting Bayesian Autoencoders with MCMC
Rohitash Chandra, Mahir Jain, Manavendra Maharana +1
Autoencoders gained popularity in the deep learning revolution given their ability to compress data and provide dimensionality reduction. Although prominent deep learning methods h…