Harold Soh

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 91

Top Venues

Publications

Bowen Zhang, Harold Soh
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction. CoRR (2024)
Alvin Heng, Alexandre H. Thiery, Harold Soh
Out-of-Distribution Detection with a Single Unconditional Diffusion Model. CoRR (2024)
Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh
Behavioral Refinement via Interpolant-based Policy Diffusion. CoRR (2024)
Zeyu Feng, Hao Luan, Pranav Goyal, Harold Soh
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning. CoRR (2024)
Samson Yu, Kelvin Lin, Anxing Xiao, Jiafei Duan, Harold Soh
Octopi: Object Property Reasoning with Large Tactile-Language Models. CoRR (2024)
Linh Kästner, Volodymyir Shcherbyna, Huajian Zeng, Tuan Anh Le, Maximilian Ho-Kyoung Schreff, Halid Osmaev, Nam Truong Tran, Diego Diaz, Jan Golebiowski, Harold Soh, Jens Lambrecht
Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments. CoRR (2024)
Ce Hao, Kelvin Lin, Siyuan Luo, Harold Soh
Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting. CoRR (2024)
Jiaming Wang, Harold Soh
Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation. ICRA (2024)
Shuyue Hu, Harold Soh, Georgios Piliouras
Heterogeneous Beliefs and Multi-Population Learning in Network Games. CoRR (2023)
Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities. CoRR (2023)
Yaqi Xie, Chen Yu, Tongyao Zhu, Jinbin Bai, Ze Gong, Harold Soh
Translating Natural Language to Planning Goals with Large-Language Models. CoRR (2023)
Alvin Heng, Abdul Fatir Ansari, Harold Soh
Generative Modeling with Flow-Guided Density Ratio Learning. CoRR (2023)
Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. CoRR (2023)
Tasbolat Taunyazov, Heng Zhang, John Patrick Eala, Na Zhao, Harold Soh
Refining 6-DoF Grasps with Context-Specific Classifiers. CoRR (2023)
Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. ICML (2023)
Kaiqi Chen, Jing Yu Lim, Kingsley Kuan, Harold Soh
Latent Emission-Augmented Perspective-Taking (LEAPT) for Human-Robot Interaction. IROS (2023)
Bowen Zhang, Harold Soh
Large Language Models as Zero-Shot Human Models for Human-Robot Interaction. CoRR (2023)
Kaiqi Chen, Jing Yu Lim, Kingsley Kuan, Harold Soh
Latent Emission-Augmented Perspective-Taking (LEAPT) for Human-Robot Interaction. CoRR (2023)
Alvin Heng, Harold Soh
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models. CoRR (2023)
Jiaming Wang, Harold Soh
Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation. CoRR (2023)
Shuyue Hu, Harold Soh, Georgios Piliouras
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium. NeurIPS (2023)
Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
Safety-Constrained Policy Transfer with Successor Features. ICRA (2023)
Alvin Heng, Harold Soh
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models. NeurIPS (2023)
Tasbolat Taunyazov, Kelvin Lin, Harold Soh
GRaCE: Optimizing Grasps to Satisfy Ranked Criteria in Complex Scenarios. CoRR (2023)
Bowen Zhang, Harold Soh
Large Language Models as Zero-Shot Human Models for Human-Robot Interaction. IROS (2023)
Tasbolat Taunyazov, Heng Zhang, John Patrick Eala, Na Zhao, Harold Soh
Refining 6-DoF Grasps with Context-Specific Classifiers. IROS (2023)
Sreejith Balakrishnan, Jianxin Bi, Harold Soh
SCALES: From Fairness Principles to Constrained Decision-Making. AIES (2022)
Kaiqi Chen, Jeffrey Fong, Harold Soh
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication. Robotics: Science and Systems (2022)
Eugene Lim, Harold Soh
Observed Adversaries in Deep Reinforcement Learning. CoRR (2022)
Kaiqi Chen, Jeffrey Fong, Harold Soh
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication. CoRR (2022)
Sreejith Balakrishnan, Jianxin Bi, Harold Soh
SCALES: From Fairness Principles to Constrained Decision-Making. CoRR (2022)
Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis
Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI (2022)
Shuyue Hu, Chin-Wing Leung, Ho-fung Leung, Harold Soh
The Dynamics of Q-learning in Population Games: A Physics-inspired Continuity Equation Model. AAMAS (2022)
Shuyue Hu, Chin-Wing Leung, Ho-fung Leung, Harold Soh
The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model. CoRR (2022)
Zeyu Feng, Bowen Zhang, Jianxin Bi, Harold Soh
Safety-Constrained Policy Transfer with Successor Features. CoRR (2022)
Abdul Fatir Ansari, Ming Liang Ang, Harold Soh
Refining Deep Generative Models via Discriminator Gradient Flow. ICLR (2021)
Tasbolat Taunyazov, Luar Shui Song, Eugene Lim, Hian-Hian See, David Lee, Benjamin C. K. Tee, Harold Soh
Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects. CoRR (2021)
Tasbolat Taunyazov, Luar Shui Song, Eugene Lim, Hian-Hian See, David Lee, Benjamin C. K. Tee, Harold Soh
Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects. IROS (2021)
Nicholas Teh, Shuyue Hu, Harold Soh
A Theoretical Framework for Large-Scale Human-Robot Interaction with Groups of Learning Agents. HRI (Companion) (2021)
Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Yuyang Wang, Tim Januschowski
Deep Explicit Duration Switching Models for Time Series. CoRR (2021)
Yaqi Xie, Fan Zhou, Harold Soh
Embedding Symbolic Temporal Knowledge into Deep Sequential Models. ICRA (2021)
Yaqi Xie, Fan Zhou, Harold Soh
Embedding Symbolic Temporal Knowledge into Deep Sequential Models. CoRR (2021)
Kaiqi Chen, Yong Lee, Harold Soh
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning. ICRA (2021)
Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Bernie Wang, Tim Januschowski
Deep Explicit Duration Switching Models for Time Series. NeurIPS (2021)
Kaiqi Chen, Yong Lee, Harold Soh
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning. CoRR (2021)
Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman
Applying Probabilistic Programming to Affective Computing. IEEE Trans. Affect. Comput. 12 (2) (2021)
Indu P. Bodala, Bing Cai Kok, Weicong Sng, Harold Soh
Modeling the Interplay of Trust and Attention in HRI: An Autonomous Vehicle Study. HRI (Companion) (2020)
Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, Harold Soh
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition. CoRR (2020)
Eugene Lim, Bing Cai Kok, Songli Wang, Joshua Lee, Harold Soh
Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning. HRI (Companion) (2020)
Shuyue Hu, Chin-Wing Leung, Ho-fung Leung, Harold Soh
The Evolutionary Dynamics of Independent Learning Agents in Population Games. CoRR (2020)
Tasbolat Taunyazov, Weicong Sng, Brian Lim, Hian-Hian See, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh
Event-Driven Visual-Tactile Sensing and Learning for Robots. Robotics: Science and Systems (2020)
Joshua Lee, Jeffrey Fong, Bing Cai Kok, Harold Soh
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration. CoRR (2020)
Tasbolat Taunyazov, Yansong Chua, Ruihan Gao, Harold Soh, Yan Wu
Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network. IROS (2020)
Harold Soh, Yaqi Xie, Min Chen, David Hsu
Multi-task trust transfer for human-robot interaction. Int. J. Robotics Res. 39 (2-3) (2020)
Tasbolat Taunyazov, Weicong Sng, Hian-Hian See, Brian Lim, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh
Event-Driven Visual-Tactile Sensing and Learning for Robots. CoRR (2020)
Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh
A Characteristic Function Approach to Deep Implicit Generative Modeling. CVPR (2020)
Hian-Hian See, Brian Lim, Si Li, Haicheng Yao, Wen Cheng, Harold Soh, Benjamin C. K. Tee
ST-MNIST - The Spiking Tactile MNIST Neuromorphic Dataset. CoRR (2020)
Zhi-Xuan Tan, Harold Soh, Desmond C. Ong
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. AAAI (2020)
Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization. CoRR (2020)
Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning. ACM Trans. Hum. Robot Interact. 9 (2) (2020)
Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization. NeurIPS (2020)
Joshua Lee, Jeffrey Fong, Bing Cai Kok, Harold Soh
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration. IROS (2020)
Abdul Fatir Ansari, Ming Liang Ang, Harold Soh
Refining Deep Generative Models via Wasserstein Gradient Flows. CoRR (2020)
Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, Harold Soh
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition. IROS (2020)
Ga Wu, Kai Luo, Scott Sanner, Harold Soh
Deep language-based critiquing for recommender systems. RecSys (2019)
Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman
Applying Probabilistic Programming to Affective Computing. CoRR (2019)
Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh
Robot Capability and Intention in Trust-based Decisions across Tasks. CoRR (2019)
Yaqi Xie, Ziwei Xu, Kuldeep S. Meel, Mohan S. Kankanhalli, Harold Soh
Embedding Symbolic Knowledge into Deep Networks. NeurIPS (2019)
Abdul Fatir Ansari, Harold Soh
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. AAAI (2019)
Tasbolat Taunyazov, Hui Fang Koh, Yan Wu, Caixia Cai, Harold Soh
Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach. ICRA (2019)
Zhi-Xuan Tan, Harold Soh, Desmond C. Ong
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. CoRR (2019)
Yaqi Xie, Ziwei Xu, Kuldeep S. Meel, Mohan S. Kankanhalli, Harold Soh
Semantically-Regularized Logic Graph Embeddings. CoRR (2019)
Harold Soh, Pan Shu, Min Chen, David Hsu
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. IJCAI (2019)
Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh
A Characteristic Function Approach to Deep Implicit Generative Modeling. CoRR (2019)
Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh
Robot Capability and Intention in Trust-Based Decisions Across Tasks. HRI (2019)
Pan Shu, Chen Min, Indu P. Bodala, Stefanos Nikolaidis, David Hsu, Harold Soh
Human Trust in Robot Capabilities across Tasks. HRI (Companion) (2018)
Dusan Sovilj, Scott Sanner, Harold Soh, Hanze Li
Collaborative Filtering with Behavioral Models. UMAP (2018)
Abdul Fatir Ansari, Harold Soh
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. CoRR (2018)
Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
Planning with Trust for Human-Robot Collaboration. CoRR (2018)
Sean W. Kortschot, Dusan Sovilj, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Harold Soh
Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity. Hum. Factors 60 (7) (2018)
Thanh Vinh Vo, Harold Soh
Generation meets recommendation: proposing novel items for groups of users. RecSys (2018)
Harold Soh, Pan Shu, Min Chen, David Hsu
The Transfer of Human Trust in Robot Capabilities across Tasks. Robotics: Science and Systems (2018)
Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
Planning with Trust for Human-Robot Collaboration. HRI (2018)
Thanh Vinh Vo, Harold Soh
Generation Meets Recommendation: Proposing Novel Items for Groups of Users. CoRR (2018)
Harold Soh, Pan Shu, Min Chen, David Hsu
The Transfer of Human Trust in Robot Capabilities across Tasks. CoRR (2018)
Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh
Z-Transforms and its Inference on Partially Observable Point Processes. IJCAI (2018)
Harold Soh, Scott Sanner, Madeleine White, Greg A. Jamieson
Deep Sequential Recommendation for Personalized Adaptive User Interfaces. IUI (2017)
Shamin Kinathil, Harold Soh, Scott Sanner
Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes. AAAI Workshops (2017)
Shamin Kinathil, Harold Soh, Scott Sanner
Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs. ICAPS (2017)
Sean W. Kortschot, Dusan Sovilj, Harold Soh, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Scott Ralph, Scott Langevin
An open source adaptive user interface for network monitoring. SMC (2017)
Harold Soh
Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process. IJCAI (2016)
Harold Soh, Yiannis Demiris
Learning assistance by demonstration: smart mobility with shared control and paired haptic controllers. J. Hum. Robot Interact. 4 (3) (2015)
Harold Soh, Yiannis Demiris
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Harold Soh, Yiannis Demiris
Incrementally Learning Objects by Touch: Online Discriminative and Generative Models for Tactile-Based Recognition. IEEE Trans. Haptics 7 (4) (2014)
Yanyu Su, Yan Wu, Harold Soh, Zhijiang Du, Yiannis Demiris
Enhanced kinematic model for dexterous manipulation with an underactuated hand. IROS (2013)
Harold Soh, Yiannis Demiris
When and how to help: An iterative probabilistic model for learning assistance by demonstration. IROS (2013)
Miguel Sarabia, Tuan Le Mau, Harold Soh, Shuto Naruse, Crispian Poon, Zhitian Liao, Kuen Cherng Tan, Zi Jian Lai, Yiannis Demiris
iCharibot: Design and Field Trials of a Fundraising Robot. ICSR (2013)
Harold Soh, Yanyu Su, Yiannis Demiris
Online spatio-temporal Gaussian process experts with application to tactile classification. IROS (2012)
Harold Soh, Yiannis Demiris
Iterative temporal learning and prediction with the sparse online echo state gaussian process. IJCNN (2012)
Harold Soh, Yiannis Demiris
Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs). GECCO (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Harold Soh