50 citations · 121 across the 35 of their papers we have counts for
3 papers · 1 filter
Learning User Representations in Online Social Networks using Temporal Dynamics of Information Diffusion
Harvineet Singh, Amitabha Bagchi, Parag Singla
This article presents a novel approach for learning low-dimensional distributed representations of users in online social networks. Existing methods rely on the network structure f…
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Ankit Anand, Ritesh Noothigattu, Parag Singla +1
Lifted inference algorithms commonly exploit symmetries in a probabilistic graphical model (PGM) for efficient inference. However, existing algorithms for Boolean-valued domains ca…
Coarse-to-Fine Lifted MAP Inference in Computer Vision
Haroun Habeeb, Ankit Anand, Mausam +1
There is a vast body of theoretical research on lifted inference in probabilistic graphical models (PGMs). However, few demonstrations exist where lifting is applied in conjunction…