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



 02 Aug 2018 Prof. Sriraam Natarajan is invited speaker @ ACAI 2018
Catch Prof. Sriraam Natarajan teach Human Allied Statistical Relational AI at ACAI 2018 Summer School on Statistical ...

 02 Aug 2018 Prof. Sriraam Natarajan is invited speaker @ US-Serbia & West Balkan Data Science Workshop, Serbia
Prof. Sriraam Natarajan is invited speaker at US-Serbia & West Balkan Data Science Workshop, Serbia on August 26-...

 02 Aug 2018 Submission on Boosting Relational Logistic Regression accepted to KR 2018
Our collaborative work with David Poole’s group and Kristian Kersting on Boosting Relational Logistic Regression has ...

 02 Aug 2018 Prof. Sriraam Natarajan podcast on Statistical Relational Artificial Intelligence at TWiML&AI is now available
Prof. Sriraam Natarajan podcast on Statistical Relational Artificial Intelligence at TWiML&AI is now available

 02 Aug 2018 Prof. Gautam Kunapuli is teaching CS6375: Machine Learning in Fall 2018
Prof. Gautam Kunapuli is teaching CS6375: Machine Learning in Fall 2018. For more information please visit here

For previous news, see the News Archive

Funding History


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2012
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Acknowledgements