| Scaling Lifted Probabilistic Inference and Learning Via Graph Databases M Das, Y Wu, T Khot, K Kersting, S Natarajan Proceedings of the 2016 SIAM International Conference on Data Mining, 738-746, 2016 | 32 | 2016 |
| Drug‐Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities DS Dhami, G Kunapuli, M Das, D Page, S Natarajan Smart Health 9, 88-100, 2018 | 25 | 2018 |
| Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs M Das, DS Dhami, G Kunapuli, K Kristian, S Natarajan Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence …, 2019 | 16 | 2019 |
| Preference-Guided Planning: An Active Elicitation Approach M Das, P Odom, MR Islam, JR Doppa, D Roth, S Natarajan Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 12 | 2018 |
| Planning with actively eliciting preferences M Das, P Odom, MR Islam, JRJ Doppa, D Roth, S Natarajan Knowledge-Based Systems 165, 219-227, 2019 | 10 | 2019 |
| User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams AL Hayes, M Das, P Odom, S Natarajan Proceedings of the Knowledge Capture Conference, 1-8, 2017 | 10 | 2017 |
| Towards Problem Solving Agents that Communicate and Learn A Narayan-Chen, C Graber, M Das, MR Islam, S Dan, S Natarajan, ... Proceedings of the First Workshop on Language Grounding for Robotics, 95-103, 2017 | 9 | 2017 |
| Human-guided Collaborative Problem Solving: A Natural Language based Framework H Kokel, M Das, R Islam, J Bonn, J Cai, S Dan, A Narayan-Chen, ... arXiv preprint arXiv:2207.09566, 2022 | 3 | 2022 |
| Few-Shot Induction of Generalized Logical Concepts via Human Guidance M Das, N Ramanan, JR Doppa, S Natarajan Frontiers in Robotics and AI 7, 122, 2020 | 3 | 2020 |
| Discriminative non-parametric learning of arithmetic circuits N Ramanan, M Das, K Kersting, S Natarajan International Conference on Probabilistic Graphical Models, 353-364, 2020 | 3 | 2020 |
| Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation DS Dhami, M Das, S Natarajan Proceedings of the International Conference on Principles of Knowledge …, 2021 | 2 | 2021 |
| Knowledge-augmented Column Networks: Guiding Deep Learning with Advice M Das, DS Dhami, Y Yu, G Kunapuli, S Natarajan arXiv preprint arXiv:1906.01432, 2019 | 2 | 2019 |
| Graph-based approximate counting for relational probabilistic models M Das, Y Wu, T Khot, K Kersting, S Natarajan Working Notes of the 5th International Workshop on Statistical Relational AI …, 2015 | 2 | 2015 |
| Neural architecture search based optimized dnn model generation for execution of tasks in electronic device M Das, M Venkappa, B Singh, PN Shivamurthappa, SK ALLUR US Patent App. 17/211,606, 2021 | 1 | 2021 |
| Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning M Das, DS Dhami, Y Yu, G Kunapuli, S Natarajan 8th ACM IKDD CODS and 26th COMAD, 110-118, 2021 | 1 | 2021 |
| Knowledge Intensive Learning of Generative Adversarial Networks DS Dhami, M Das, S Natarajan KiML@ KDD, 2020 | 1 | 2020 |
| Design and Develop Hardware Aware DNN for Faster Inference S Rajarajeswari, AP Patil, A Madhyastha, A Jaitly, HS Jha, SR Bhave, ... Proceedings of SAI Intelligent Systems Conference, 309-318, 2023 | | 2023 |
| ANNExR: Efficient Anytime Inference in DNNs via Adaptive Intermediate Decision Points AP Patil, R Subramanian, V Cornelio, S Venkatesh, M Varun, K Shavin, ... Proceedings of SAI Intelligent Systems Conference, 1-25, 2023 | | 2023 |
| Tree DNN: A Deep Container Network B Singh, S Gupta, M Das, PD Naidu, SK Allur arXiv preprint arXiv:2212.03474, 2022 | | 2022 |
| AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement M Das, B Singh, HK Chheda, P Sharma, NS Pradeep 2022 26th International Conference on Pattern Recognition (ICPR), 2568-2574, 2022 | | 2022 |
Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
