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

05 Apr 2022 Our paper on extending RePReL for hybrid data is accepted at FUSION'22
We recently extended the RePReL framework for domains with a combination of structured and unstructured data. This wo...

05 Apr 2022 Prof. Sriraam Natarajan's workshop talk and colloquium is now available to watch on Youtube
Prof. Sriraam Natarajan gives a workshop talk on “Uncertainty, Bayesian Networks and Probabilistic Inference” and a c...

15 Jan 2022 Prof. Sriraam Natarajan gives a keynote talk at IIT Madras
Prof. Sriraam Natarajan gives a keynote talk about the research we do at StARLinG Lab. The full version of the podcas...

25 Aug 2021 Prof. Sriraam Natarajan talks about AI on The Tech Between Us Podcast
Prof. Sriraam Natarajan talks about AI on The Tech Between Us Podcast. The full version of the podcast can be found h...

11 Aug 2021 Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models wins the best poster award at EEML 2021
The poster for Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models has won the ...

For previous news, see the News Archive