4 citations · 9 across the 29 of their papers we have counts for
3 papers · 1 filter
Graphon Estimation from Partially Observed Network Data
Soumendu Sundar Mukherjee, Sayak Chakrabarti
We consider estimating the edge-probability matrix of a network generated from a graphon model when the full network is not observed---only some overlapping subgraphs are. We exten…
When random initializations help: a study of variational inference for community detection
Purnamrita Sarkar, Y. X. Rachel Wang, Soumendu Sundar Mukherjee
Variational approximation has been widely used in large-scale Bayesian inference recently, the simplest kind of which involves imposing a mean field assumption to approximate compl…
Morphological Network: How Far Can We Go with Morphological Neurons?
Ranjan Mondal, Sanchayan Santra, Soumendu Sundar Mukherjee +1
Morphological neurons, that is morphological operators such as dilation and erosion with learnable structuring elements, have intrigued researchers for quite some time because of t…