Scholar
Parag Singla
Google Scholar ID: V49BsgMAAAAJ
Indian Institute of Technology Delhi
Citations & Impact
Citations
1,491
H-index
19
i10-index
35
Publications
20
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Developed a widely used SRL model called Markov Logic and was one of the developers of Alchemy, the first open-source implementation of Markov Logic. Invented the well-known lifted inference algorithm for SRL models, Lifted First-order Belief Propagation.
Research Experience
- Currently a Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Delhi, with a joint appointment in the School of AI. Member of the Data Analytics and Intelligence Research (DAIR) Group. Worked as a postdoctoral fellow with Raymond Mooney at the University of Texas at Austin. Extensive work in the field of Statistical Relational Learning (SRL).
Education
- PhD: 2009, University of Washington, Seattle, Advisor: Pedro Domingos; Postdoctoral Fellow: University of Texas at Austin, Collaborator: Raymond Mooney.
Background
- Research Interests: Machine Learning, specifically in the area of neuro-symbolic reasoning. The goal is to combine the power of pure neural (black-box) learning with logic-style reasoning to incorporate additional domain knowledge and constraints into the neural framework. Previously worked extensively in Statistical Relational Learning (SRL), which aims to combine the power of logic and probability.
