| Adaptive multi-robot wide-area exploration and mapping KH Low, JM Dolan, P Khosla 7th International Conference on Autonomous Agents and Multiagent Systems …, 2008 | 129 | 2008 |
| 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 | 106 | 2013 |
| 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 | 103 | 2015 |
| 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 | 96 | 2009 |
| 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 | 91 | 2014 |
| 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 | 86 | 2006 |
| 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 | 81 | 2011 |
| 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 | 74 | 2019 |
| 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 | 74 | 2015 |
| 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 | 74 | 2004 |
| 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 | 69 | 2012 |
| Decentralized Active Robotic Exploration and Mapping for Probabilistic Field Classification in Environmental Sensing KH Low, J Chen, JM Dolan, S Chien, DR Thompson 11th International Conference on Autonomous Agents and Multiagent Systems …, 2012 | 68 | 2012 |
| Active Markov information-theoretic path planning for robotic environmental sensing KH Low, JM Dolan, P Khosla 10th International Conference on Autonomous Agents and Multiagent Systems …, 2011 | 64 | 2011 |
| 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 | 60 | 2016 |
| Nonmyopic ∈-Bayes-Optimal Active Learning of Gaussian Processes TN Hoang, KH Low, P Jaillet, M Kankanhalli 31st International Conference on Machine Learning (ICML-14), 739-747, 2014 | 54* | 2014 |
| GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model N Xu, KH Low, J Chen, KK Lim, EB Ozgul 28th AAAI Conference on Artificial Intelligence (AAAI-14), 2585-2592, 2014 | 53 | 2014 |
| Parallel Gaussian process regression with low-rank covariance matrix approximations J Chen, N Cao, KH Low, R Ouyang, CKY Tan, P Jaillet 29th Conference on Uncertainty in Artificial Intelligence (UAI-13), 152-161, 2013 | 53 | 2013 |
| Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation KH Low, J Yu, J Chen, P Jaillet 29th AAAI Conference on Artificial Intelligence (AAAI-15), 2821-2827, 2015 | 51 | 2015 |
| Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System J Chen, KH Low, CKY Tan Robotics: Science and Systems Conference (RSS-13), 2013 | 48 | 2013 |
Patrick JailletDugald C. Jackson Professor, EECS, MITVerified email at mit.edu
