| Efficient probabilistic logic reasoning with graph neural networks Y Zhang, X Chen, Y Yang, A Ramamurthy, B Li, Y Qi, L Song International Conference on Learning Representations, 2020 | 135 | 2020 |
| Dc-bert: Decoupling question and document for efficient contextual encoding P Nie, Y Zhang, X Geng, A Ramamurthy, L Song, D Jiang Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 51* | 2020 |
| Empirical assessment of deep gaussian process surrogate models for engineering problems D Rajaram, TG Puranik, S Ashwin Renganathan, WJ Sung, OP Fischer, ... Journal of Aircraft 58 (1), 182-196, 2021 | 26 | 2021 |
| Deep Gaussian process enabled surrogate models for aerodynamic flows D Rajaram, TG Puranik, A Renganathan, WJ Sung, OJ Pinon-Fischer, ... AIAA Scitech 2020 Forum, 1640, 2020 | 24 | 2020 |
| Deep generative model for efficient 3D airfoil parameterization and generation W Chen, A Ramamurthy AIAA Scitech 2021 Forum, 1690, 2021 | 23 | 2021 |
| Path auxiliary proposal for MCMC in discrete space H Sun, H Dai, W Xia, A Ramamurthy International Conference on Learning Representations, 2021 | 19 | 2021 |
| Can graph neural networks help logic reasoning? Y Zhang, X Chen, Y Yang, A Ramamurthy, B Li, Y Qi, L Song arXiv preprint arXiv:1906.02111, 2019 | 19 | 2019 |
| Answering any-hop open-domain questions with iterative document reranking Y Zhang, P Nie, A Ramamurthy, L Song Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 18 | 2021 |
| Automating Pattern Selection for Assurance Case Development for Cyber-Physical Systems S Ramakrishna, H Jin, A Dubey, A Ramamurthy International Conference on Computer Safety, Reliability, and Security, 82-96, 2022 | 8 | 2022 |
| Ddrqa: Dynamic document reranking for open-domain multi-hop question answering Y Zhang, P Nie, A Ramamurthy, L Song arXiv e-prints, arXiv: 2009.07465, 2020 | 6 | 2020 |
| Framework for Probabilistic Analysis of Future Energy Technologies: Hybrid-Electric Propulsion CY Justin, A Ramamurthy, S Briceno, DN Mavris 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2016 | 4 | 2016 |
| Development Of A Sysml Framework For Gas Turbine Design Under Uncertainty A Ramamurthy, J Valenzuela-del-Rio, F Villeneuve, J Veer Dans Global Power and Propulsion Forum 1, 2014 | 4 | 2014 |
| Performance based system configuration as preprocessing for system peformance simulation HH Degen, A Ramamurthy, Y Zhou US Patent App. 17/637,826, 2022 | 3 | 2022 |
| Combinatorial and parametric gradient-free optimization for cyber-physical system design H Zheng, J Betz, A Ramamurthy, H Jin, R Mangharam 2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION), 34-41, 2022 | 2 | 2022 |
| Answering Any-hop Open-domain Questions with Iterative Document Reranking P Nie, Y Zhang, A Ramamurthy, L Song arXiv preprint arXiv:2009.07465, 2020 | 2 | 2020 |
| Intelligent workflow advisor for part design, simulation and manufacture S Srivastava, SR Musuvathy, T Gruenewald, L Mirabella, L Dalloro, ... US Patent App. 16/277,035, 2020 | 2 | 2020 |
| On-Demand Small UAS Architecture Selection and Rapid Manufacturing using a Model-Based Systems Engineering Approach C Justin, A Ramamurthy, N Beals, E Spero, D Mavris 31st Congress of the International Council of the Aeronautical Sciences …, 2018 | 2 | 2018 |
| A Reinforcement Learning Framework for the Automation of Engineering Decisions in Complex Systems. A Ramamurthy Georgia Institute of Technology, Atlanta, GA, USA, 2020 | 1 | 2020 |
| System for logic rule induction on knowledge graphs of engineering systems A Ramamurthy, Y Zhang, S Srivastava, L Dalloro US Patent App. 18/042,303, 2024 | | 2024 |
| Learning to Verify and Assure Cyber-Physical Systems H Jin, T Zhang, A Ramamurthy, A Hamza, M Malinoski AIAA SCITECH 2024 Forum, 1853, 2024 | | 2024 |
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