2 papers
cs.LG2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh K. Jeewajee, Leslie P. Kaelbling
Undirected graphical models are compact representations of joint probability distributions over random variables. To solve inference tasks of interest, graphical models of arbitrar…
cs.LG2019
Graph Element Networks: adaptive, structured computation and memory
Ferran Alet, Adarsh K. Jeewajee, Maria Bauza +3
We explore the use of graph neural networks (GNNs) to model spatial processes in which there is no a priori graphical structure. Similar to finite element analysis, we assign nodes…