Statistical Artificial Intelligence and Relational Learning Group is interested in making smart machines that humans can use reliably in their everyday lives. Artificial Intelligence (AI) has made tremendous progress since its early days, and its advancement has helped shape the progress of research in many other fields. Traditionally, AI is used with either the logical approach to address structured problems or with the statistical approach to handle uncertainty. Our research interests lie at the intersection: advancement and application of algorithms that can do both.

Research Highlights


Latest News



 04 Dec 2018 Professor Natarajan gave a keynote at IIT Madras as distinguished faculty
Professor Sriraam Natarajan was recognized as a Distinguished Faculty by Robert Bosch Centre for Data Science and AI ...

 04 Dec 2018 Professor Natarajan is the director of THE CENTER FOR MACHINE LEARNING at UTD
Professor Sriraam Natarajan is the director for THE CENTER FOR MACHINE LEARNING at UTD. The purpose for this centre ...

 02 Nov 2018 Nandini presented her paper on Efficient structure learning for Relational Logistic Regression at KR 2018
Nandini presented her paper and poster on Efficient structure learning for RLR at KR 2018 held in Tempe, Arizona. Nan...

 02 Nov 2018 Paper on approximate counting using hypergraph accepted to AAAI 2019. Congratulations Mayukh and Dev.
Paper on approximate counting using hypergraph accepted to AAAI 2019. This work allows for fast counting by transform...

 05 Oct 2018 Prof. Natarajan is attending PROBPROG 2018 at MIT
Prof. Sriraam Natarajan is attending PROBPROG 2018 held at MIT, Cambridge from Oct 4th to Oct 6th, 2018. Our lab has ...

For previous news, see the News Archive

Funding History


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2012
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Acknowledgements