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 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 ...

 02 Oct 2018 We are delighted to announce that Prof. Sriraam Natarajan is one of the speciality cheif editors for frontiers
Prof. Sriraam Natarajan is serving on the editorial board as one of the speciality chief editors in the area of Machi...

 02 Oct 2018 Prof. Sriraam Natarajan is the invited speaker at CoDS-COMAD 2019
Prof. Sriraam Natarajan is the invited speaker at CoDS-COMAD 2019 to be held in Kolkata, India from 3rd to 5th Jan, ...

For previous news, see the News Archive

Funding History


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2012
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Acknowledgements