| Deepracer: Autonomous racing platform for experimentation with sim2real reinforcement learning B Balaji, S Mallya, S Genc, S Gupta, L Dirac, V Khare, G Roy, T Sun, ... IEEE International Conference on Robotics and Automation (ICRA) 2020, 2019 | 128* | 2019 |
| Robust Multi-Agent Reinforcement Learning with Model Uncertainty K Zhang*, T Sun*, Y Tao, S Genc, S Mallya, T Basar Advances in neural information processing systems (NeurIPS) 2020, 2020 | 98 | 2020 |
| Approximate Inference in Collective Graphical Models D Sheldon, T Sun, A Kumar, TG Dietterich International Conference on Machine Learning (ICML) 2013, 2013 | 65 | 2013 |
| Gated Transformer for Decoding Human Brain EEG Signals Y Tao, T Sun, A Muhamed, S Genc, D Jackson, A Arsanjani, ... International Conference of the IEEE Engineering in Medicine & Biology …, 2021 | 50 | 2021 |
| Message Passing for Collective Graphical Models T Sun, D Sheldon, A Kumar International Conference on Machine Learning (ICML) 2015, 2015 | 41 | 2015 |
| Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models G Bernstein, R McKenna, T Sun, D Sheldon, M Hay, G Miklau International Conference on Machine Learning (ICML) 2017, 2017 | 38 | 2017 |
| REPAINT: Knowledge Transfer in Deep Reinforcement Learning Y Tao, S Genc, J Chung, T Sun, S Mallya International Conference on Machine Learning (ICML) 2021, 2021 | 34 | 2021 |
| A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential Election T Sun, D Sheldon, B O’Connor IEEE International Conference on Data Mining (ICDM) 2017, 2017 | 34 | 2017 |
| Zero-shot reinforcement learning with deep attention convolutional neural networks S Genc, S Mallya, S Bodapati, T Sun, Y Tao arXiv preprint arXiv:2001.00605, 2020 | 13 | 2020 |
| Three-quarter Sibling Regression for Denoising Observational Data S Shankar, D Sheldon, T Sun, J Pickering, TG Dietterich International Joint Conference on Artificial IntelligenceI (IJCAI) 2019, 2019 | 5 | 2019 |
| Attention-based deep reinforcement learning for autonomous agents S Genc, SB Bodapati, T Sun, SM Kasaragod US Patent App. 18/465,916, 2023 | 1 | 2023 |
| -Coder: Value-Based Deep Reinforcement Learning for Program Synthesis Z Yu, Y Tao, L Chen, T Sun, H Yang International Conference on Learning Representations (ICLR) 2024, 2023 | 1 | 2023 |
| Systems and methods for knowledge transfer in machine learning Y Tao, S Genc, T Sun, SM Kasaragod US Patent 11,620,576, 2023 | 1 | 2023 |
| Attention-based deep reinforcement learning for autonomous agents S Genc, SB Bodapati, T Sun, SM Kasaragod US Patent 11,900,244, 2024 | | 2024 |
| Systems and methods for knowledge transfer in machine learning Y Tao, S Genc, T Sun, SM Kasaragod US Patent App. 18/193,023, 2023 | | 2023 |
| Learning Robust Motion Planning for Large-Scale Deployment of Autonomous Driving Agents S Genc, S Mallya, B Balaji, T Sun, S Gupta, V Khare, L Dirac, E Calleja, ... | | 2019 |
| Learning with Aggregate Data T Sun University of Massachusetts Amherst, 2019 | | 2019 |
| Message Passing for Collective Graphical Models.(2015) T SUN, D SHELDON, A KUMAR Proceedings of the 32nd International Conference on Machine Learning, Lille …, 2015 | | 2015 |
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