Harold Soh

CoRR, 2024

Octopi: Object Property Reasoning with Large Tactile-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Behavioral Refinement via Interpolant-based Policy Diffusion.

[BibT_eX]

[DOI]

CoRR, 2024

Generative Modeling with Flow-Guided Density Ratio Learning.

[BibT_eX]

[DOI]

Alvin Heng

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation.

[BibT_eX]

[DOI]

Jiaming Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction.

[BibT_eX]

[DOI]

Bowen Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

GRaCE: Optimizing Grasps to Satisfy Ranked Criteria in Complex Scenarios.

[BibT_eX]

[DOI]

Tasbolat Taunyazov

Kelvin Lin

CoRR, 2023

Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities.

[BibT_eX]

[DOI]

CoRR, 2023

Translating Natural Language to Planning Goals with Large-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Heterogeneous Beliefs and Multi-Population Learning in Network Games.

[BibT_eX]

[DOI]

Shuyue Hu

Georgios Piliouras

CoRR, 2023

The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium.

[BibT_eX]

[DOI]

Shuyue Hu

Georgios Piliouras

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.

[BibT_eX]

[DOI]

Alvin Heng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Models as Zero-Shot Human Models for Human-Robot Interaction.

[BibT_eX]

[DOI]

Bowen Zhang

IROS, 2023

Refining 6-DoF Grasps with Context-Specific Classifiers.

[BibT_eX]

[DOI]

IROS, 2023

Latent Emission-Augmented Perspective-Taking (LEAPT) for Human-Robot Interaction.

[BibT_eX]

[DOI]

IROS, 2023

Safety-Constrained Policy Transfer with Successor Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Observed Adversaries in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Eugene Lim

CoRR, 2022

MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication.

[BibT_eX]

[DOI]

Kaiqi Chen

Jeffrey Fong

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Machine Learning in Human-Robot Collaboration: Bridging the Gap.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

SCALES: From Fairness Principles to Constrained Decision-Making.

[BibT_eX]

[DOI]

Sreejith Balakrishnan

Jianxin Bi

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Applying Probabilistic Programming to Affective Computing.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2021

Deep Explicit Duration Switching Models for Time Series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Embedding Symbolic Temporal Knowledge into Deep Sequential Models.

[BibT_eX]

[DOI]

Yaqi Xie

Fan Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Kaiqi Chen

Yong Lee

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Refining Deep Generative Models via Discriminator Gradient Flow.

[BibT_eX]

[DOI]

Ming Liang Ang

Proceedings of the 9th International Conference on Learning Representations, 2021

A Theoretical Framework for Large-Scale Human-Robot Interaction with Groups of Learning Agents.

[BibT_eX]

[DOI]

Nicholas Teh

Shuyue Hu

Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020

Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

ACM Trans. Hum. Robot Interact., 2020

Multi-task trust transfer for human-robot interaction.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2020

Refining Deep Generative Models via Wasserstein Gradient Flows.

[BibT_eX]

[DOI]

Ming Liang Ang

CoRR, 2020

The Evolutionary Dynamics of Independent Learning Agents in Population Games.

[BibT_eX]

[DOI]

CoRR, 2020

ST-MNIST - The Spiking Tactile MNIST Neuromorphic Dataset.

[BibT_eX]

[DOI]

CoRR, 2020

Event-Driven Visual-Tactile Sensing and Learning for Robots.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization.

[BibT_eX]

[DOI]

Sreejith Balakrishnan

Quoc Phong Nguyen

Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Modeling the Interplay of Trust and Attention in HRI: An Autonomous Vehicle Study.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

A Characteristic Function Approach to Deep Implicit Generative Modeling.

[BibT_eX]

[DOI]

Jonathan Scarlett

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series.

[BibT_eX]

[DOI]

Zhi-Xuan Tan

Desmond C. Ong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Semantically-Regularized Logic Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2019

Deep language-based critiquing for recommender systems.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Embedding Symbolic Knowledge into Deep Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Robot Capability and Intention in Trust-Based Decisions Across Tasks.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Hyperprior Induced Unsupervised Disentanglement of Latent Representations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Hum. Factors, 2018

Collaborative Filtering with Behavioral Models.

[BibT_eX]

[DOI]

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

The Transfer of Human Trust in Robot Capabilities across Tasks.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIV, 2018

Generation meets recommendation: proposing novel items for groups of users.

[BibT_eX]

[DOI]

Thanh Vinh Vo

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Z-Transforms and its Inference on Partially Observable Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Human Trust in Robot Capabilities across Tasks.

[BibT_eX]

[DOI]

Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Planning with Trust for Human-Robot Collaboration.

[BibT_eX]

[DOI]

Siddhartha S. Srinivasa

Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

2017

An open source adaptive user interface for network monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Deep Sequential Recommendation for Personalized Adaptive User Interfaces.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs.

[BibT_eX]

[DOI]

Shamin Kinathil

Scott Sanner

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.

[BibT_eX]

[DOI]

Shamin Kinathil

Scott Sanner

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Learning assistance by demonstration: smart mobility with shared control and paired haptic controllers.

[BibT_eX]

[DOI]

J. Hum. Robot Interact., 2015

2014

Incrementally Learning Objects by Touch: Online Discriminative and Generative Models for Tactile-Based Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Haptics, 2014

2013

iCharibot: Design and Field Trials of a Fundraising Robot.

[BibT_eX]

[DOI]

Proceedings of the Social Robotics - 5th International Conference, 2013

Enhanced kinematic model for dexterous manipulation with an underactuated hand.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yanyu Su

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.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Multi-reward policies for medical applications: anthrax attacks and smart wheelchairs.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs).

[BibT_eX]

[DOI]

Mohamed Salahuddin Habibullah

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.

[BibT_eX]

[DOI]

Terence Hung

Jer-Lai Kuo

IEEE Trans. Evol. Comput., 2010

2008

Mining Weather Information in Dengue Outbreak: Predicting Future Cases Based on Wavelet, SVM and GA.

[BibT_eX]

[DOI]

Proceedings of the Advances in Electrical Engineering and Computational Science, 2008

2007

Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

Time-series infectious disease data analysis using SVM and genetic algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Grid-based PSE for Engineering of Materials (GPEM).

[BibT_eX]

[DOI]

Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007

2006

moPGA: Towards a New Generation of Multi-objective Genetic Algorithms.

[BibT_eX]

[DOI]