| DynGEM: Deep Embedding Method for Dynamic Graphs P Goyal, N Kamra, X He, Y Liu IJCAI International Workshop on Representation Learning for Graphs (ReLiG), 2017 | 500 | 2017 |
| Deep generative dual memory network for continual learning N Kamra, U Gupta, Y Liu arXiv preprint arXiv:1710.10368, 2017 | 184 | 2017 |
| Policy Learning for Continuous Space Security Games using Neural Networks N Kamra, U Gupta, F Fang, Y Liu, M Tambe Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 40 | 2018 |
| Multi-agent Trajectory Prediction with Fuzzy Query Attention N Kamra, H Zhu, D Trivedi, M Zhang, Y Liu Advances in Neural Information Processing Systems (NeurIPS), 2020 | 33 | 2020 |
| Combinatorial problems in multirobot battery exchange systems N Kamra, TKS Kumar, N Ayanian IEEE Transactions on Automation Science and Engineering 15 (2), 852-862, 2017 | 28 | 2017 |
| A Mixed Integer Programming Model for Timed Deliveries in Multirobot Systems N Kamra, N Ayanian IEEE International Conference on Automation Science and Engineering (CASE …, 2015 | 25 | 2015 |
| DeepFP for Finding Nash Equilibrium in Continuous Action Spaces N Kamra, U Gupta, K Wang, F Fang, Y Liu, M Tambe Conference on Decision and Game Theory for Security (GameSec), 2019 | 19 | 2019 |
| Pretrained language models as visual planners for human assistance D Patel, H Eghbalzadeh, N Kamra, ML Iuzzolino, U Jain, R Desai Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17 | 2023 |
| Deep fictitious play for games with continuous action spaces N Kamra, U Gupta, K Wang, F Fang, Y Liu, M Tambe Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 13 | 2019 |
| PolSIRD: Modeling Epidemic Spread Under Intervention Policies N Kamra, Y Zhang, S Rambhatla, C Meng, Y Liu Journal of Healthcare Informatics Research, 1-18, 2021 | 8* | 2021 |
| Handling continuous space security games with neural networks N Kamra, F Fang, D Kar, Y Liu, M Tambe IWAISe: First International Workshop on Artificial Intelligence in Security, 17, 2017 | 8 | 2017 |
| EgoTV: Egocentric Task Verificationfrom Natural Language Task Descriptions R Hazra, B Chen, A Rai, N Kamra, R Desai International Conference on Computer Vision (ICCV 2023), Paris, France …, 2023 | 7* | 2023 |
| Action dynamics task graphs for learning plannable representations of procedural tasks W Mao, R Desai, ML Iuzzolino, N Kamra arXiv preprint arXiv:2302.05330, 2023 | 6 | 2023 |
| Treatment recommendation with preference-based reinforcement learning N Xu, N Kamra, Y Liu 2021 IEEE international conference on big knowledge (ICBK), 1-8, 2021 | 4 | 2021 |
| Human-Centered Planning Y Li, N Kamra, R Desai, A Halevy arXiv preprint arXiv:2311.04403, 2023 | 3 | 2023 |
| RF-Based Relative Localization for Robot Swarms W Hönig, N Kamra URL: http://www-scf. usc. edu/˜ nkamra/pdf/locrobot. pdf, 2016 | 2 | 2016 |
| Task optimization in an extended reality environment RP Desai, N Kamra US Patent App. 18/305,003, 2023 | 1 | 2023 |
| Gradient-based Optimization for Multi-resource Spatial Coverage Problems N Kamra, Y Liu Association for Uncertainty in Artificial Intelligence (UAI), 2021 | 1 | 2021 |
| Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments E Tekin, E Barati, N Kamra, R Desai arXiv preprint arXiv:2301.09854, 2023 | | 2023 |
| An Examination of Preference-based Reinforcement Learning for Treatment Recommendation N Xu, N Kamra, Y Liu Deep Reinforcement Learning Workshop, NeurIPS 2020, 2020 | | 2020 |
Yan LiuProfessor, Director of Machine Learning Center@USCVerified email at usc.edu
