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

19 Apr 2024 Our paper titled Building Expressive and Tractable Probabilistic Generative Models: A Review has been accepted to IJCAI 2024 survey track
Our paper titled “Building Expressive and Tractable Probabilistic Generative Models: A Review” has been accepted to t...

16 Apr 2024 Our paper titled Modeling multiple adverse pregnancy outcomes: Learning from diverse data sources has been accepted to AIME 2024
Our paper titled “Modeling multiple adverse pregnancy outcomes: Learning from diverse data sources” has been accepted...

20 Jul 2023 Prof. Sriraam Natarajan selected as Hessian.ai Fellow!
On Thursday, July 20th (8AM CST), in his visit to TU Darmstadt, Dr. Sriraam Natarajan was felicitated as hessian.AI f...

08 May 2023 Two Papers accepted to UAI 2023!
We have two papers accepted to UAI 2023. Congrats to Sahil, Saurabh and our wonderful collaborators Kristian Kersting...

25 Feb 2023 Congratulations to Dr. Kokel for successfully defending her thesis
Dr. Harsha Kokel defended her dissertation on “Beyond Data: Efficient Knowledge-Guided Learning for Sparse and Struct...

For previous news, see the News Archive