97 citations · 234 across the 26 of their papers we have counts for
4 papers · 1 filter
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao +1
We consider a simple and overarching representation for permutation-invariant functions of sequences (or multiset functions). Our approach, which we call Janossy pooling, expresses…
Multi-level hypothesis testing for populations of heterogeneous networks
Guilherme Gomes, Vinayak Rao, Jennifer Neville
In this work, we consider hypothesis testing and anomaly detection on datasets where each observation is a weighted network. Examples of such data include brain connectivity networ…
Flexible Mixture Modeling on Constrained Spaces
Putu Ayu Sudyanti, Vinayak Rao
This paper addresses challenges in flexibly modeling multimodal data that lie on constrained spaces. Such data are commonly found in spatial applications, such as climatology and c…
Group-Representative Functional Network Estimation from Multi-Subject fMRI Data via MRF-based Image Segmentation
Aditi Iyer, Bingjing Tang, Vinayak Rao +1
We propose a novel two-phase approach to functional network estimation of multi-subject functional Magnetic Resonance Imaging (fMRI) data, which applies model-based image segmentat…