| GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection QP Nguyen, KW Lim, DM Divakaran, KH Low, MC Chan IEEE Conference on Communications and Network Security (CNS'19), 91-99, 2019 | 218* | 2019 |
| Collaborative Machine Learning with Incentive-Aware Model Rewards RHL Sim, Y Zhang, MC Chan, BKH Low 37th International Conference on Machine Learning (ICML-20), 8927-8936, 2020 | 171 | 2020 |
| Multi-robot informative path planning for active sensing of environmental phenomena: A tale of two algorithms N Cao, KH Low, JM Dolan 12th International Conference on Autonomous Agents and Multiagent Systems …, 2013 | 145 | 2013 |
| Adaptive multi-robot wide-area exploration and mapping KH Low, JM Dolan, P Khosla 7th International Conference on Autonomous Agents and Multiagent Systems …, 2008 | 142 | 2008 |
| Federated Bayesian Optimization via Thompson Sampling Z Dai, KH Low, P Jaillet Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020 | 136 | 2020 |
| Variational Bayesian Unlearning QP Nguyen, BKH Low, P Jaillet Advances in Neural Information Processing Systems 33: 34th Annual Conference …, 2020 | 132 | 2020 |
| Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems J Chen, KH Low, Y Yao, P Jaillet IEEE Transactions on Automation Science and Engineering 12 (3), 901-921, 2015 | 126 | 2015 |
| Multi-Robot Active Sensing of Non-Stationary Gaussian Process-Based Environmental Phenomena R Ouyang, KH Low, J Chen, P Jaillet 13th International Conference on Autonomous Agents and Multiagent Systems …, 2014 | 113 | 2014 |
| Information-theoretic approach to efficient adaptive path planning for mobile robotic environmental sensing KH Low, JM Dolan, P Khosla 19th International Conference on Automated Planning and Scheduling (ICAPS-09 …, 2009 | 112 | 2009 |
| A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data TN Hoang, QM Hoang, KH Low 32nd International Conference on Machine Learning (ICML-15), 569-578, 2015 | 109 | 2015 |
| Autonomous personal vehicle for the first-and last-mile transportation services ZJ Chong, B Qin, T Bandyopadhyay, T Wongpiromsarn, ES Rankin, ... 5th IEEE International Conference on Cybernetics and Intelligent Systems and …, 2011 | 109 | 2011 |
| A hybrid mobile robot architecture with integrated planning and control KH Low, WK Leow, MH Ang Jr First International Joint Conference on Autonomous Agents and Multiagent …, 2002 | 91 | 2002 |
| Autonomic mobile sensor network with self-coordinated task allocation and execution KH Low, WK Leow, MH Ang Jr IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications …, 2006 | 88 | 2006 |
| Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee FX Fan, Y Ma, Z Dai, W Jing, C Tan, BKH Low Advances in Neural Information Processing Systems 34: 35th Annual Conference …, 2021 | 86 | 2021 |
| Gradient driven rewards to guarantee fairness in collaborative machine learning X Xu, L Lyu, X Ma, C Miao, CS Foo, BKH Low Advances in Neural Information Processing Systems 34: 35th Annual Conference …, 2021 | 85 | 2021 |
| Information-based multi-fidelity Bayesian optimization Y Zhang, TN Hoang, BKH Low, M Kankanhalli NIPS Workshop on Bayesian Optimization, 2017 | 80 | 2017 |
| Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond CK Ling, KH Low, P Jaillet 30th AAAI Conference on Artificial Intelligence (AAAI-16), 1860-1866, 2016 | 80 | 2016 |
| Task allocation via self-organizing swarm coalitions in distributed mobile sensor network KH Low, WK Leow, MH Ang Jr 19th National Conference on Artificial Intelligence (AAAI-04), 28-33, 2004 | 77 | 2004 |
| Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks T Liu, BKH Low arXiv preprint arXiv:2305.14201, 2023 | 75 | 2023 |
| Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena J Chen, KH Low, CKY Tan, A Oran, P Jaillet, JM Dolan, GS Sukhatme 28th Conference on Uncertainty in Artificial Intelligence (UAI-12), 163-173, 2012 | 75 | 2012 |
Patrick JailletDugald C. Jackson Professor, EECS, MIT確認したメール アドレス: mit.edu
