Harold Soh
Orcid: 0000-0002-3278-0035
According to our database1,
Harold Soh
authored at least 73 papers
between 2006 and 2024.
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Bibliography
2024
2023
Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation.
CoRR, 2023
CoRR, 2023
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
IROS, 2023
IROS, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022
The Dynamics of Q-learning in Population Games: A Physics-inspired Continuity Equation Model.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
2021
IEEE Trans. Affect. Comput., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
A Theoretical Framework for Large-Scale Human-Robot Interaction with Groups of Learning Agents.
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021
2020
CoRR, 2020
Proceedings of the Robotics: Science and Systems XVI, 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity.
Hum. Factors, 2018
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Proceedings of the Robotics: Science and Systems XIV, 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018
2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2015
2014
Incrementally Learning Objects by Touch: Online Discriminative and Generative Models for Tactile-Based Recognition.
IEEE Trans. Haptics, 2014
2013
Proceedings of the Social Robotics - 5th International Conference, 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
When and how to help: An iterative probabilistic model for learning assistance by demonstration.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
2012
Online spatio-temporal Gaussian process experts with application to tactile classification.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Iterative temporal learning and prediction with the sparse online echo state gaussian process.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Multi-reward policies for medical applications: anthrax attacks and smart wheelchairs.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs).
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis.
IEEE Trans. Evol. Comput., 2010
2008
Mining Weather Information in Dengue Outbreak: Predicting Future Cases Based on Wavelet, SVM and GA.
Proceedings of the Advances in Electrical Engineering and Computational Science, 2008
2007
Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007
2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006