Parag Singla
Assistant Professor
computer science and engineering
The Indian Institutes of Technology, Delhi
India
Biography
extnesively worked on one such widely used model by the name Markov Logic. I was one of the developers of Alchemy, the first open source implementation of Markov Logic. The key to scaling up inference in SRL models is to exploit the underlying symmetry of the model for efficient inference and learning (referred to as lifted inference and learning). I have done some pioneering work on the problem of lifted inference in SRL models and my core research focus continues to be along the same lines. I am also interested in looking at efficient inference techniques for Computer Vision problems. Peripherally, I have done some work on applying machine learning techniques to problems in Social Network Analysis.
Research Interest
Machine Learning, Social Network Analysis,Artificial Intelligence
Publications
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On the Role of Conductance, Geography and Topology in Predicting Hashtag Virality. Siddharth Bora, Harvineet Singh, Anirban Sen, Amitabha Bagchi and Parag Singla. Social Network Analysis and Mining, Vol 5(1): 57, 2015. Publisher: Springer.
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Lazy Generic Cuts. Dinesh Khandelwal, Kush Bhatia, Chetan Arora and Parag Singla. Computer Vision and Image Understanding (CVIU) Special Issue on Inference and Learning of Graphical Models, Vol 143 (80 - 91), 2016. Publisher: Elsevier.
