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
28 Jan 2025 Prof. Natarajan elected as Councilor of the Association for the Advancement of Artificial Intelligence (AAAI)!
Congratulations to Prof. Sriraam Natarajan on being elected as Councilor of the Association for the Advancement of Ar...
22 Jan 2025 Our paper titled Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits has been accepted to AISTATS 2025
Our paper titled “Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits” has been accepted to the 28th In...
16 Jan 2025 Prof. Natarajan elected as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)!
Congratulations to Prof. Sriraam Natarajan on being elected as a Association for the Advancement of Artificial Intell...
19 Dec 2024 Our paper titled Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains has been accepted to AAMAS 2025
Our paper titled “Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains” has been a...
09 Dec 2024 Our paper titled A Unified Framework for Human-Allied Learning of Probabilistic Circuits has been accepted to AAAI 2025
Our paper titled “A Unified Framework for Human-Allied Learning of Probabilistic Circuits” has been accepted to the 3...
For previous news, see the News Archive
Funding History
2020
2019
2018
2012
Acknowledgements
