Vignesh Narayanan

78 papers A* 3A 1B 3C 9Journal 44Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corrections to "Safe Data-Enabled Control of Human-in-the-Loop Robotic Manipulator Systems". IEEE Trans. Ind. Informatics Ritirupa Dey, Avimanyu Sahoo, Vignesh Narayanan
2026	J	`jnl`	Mitigating Task-Order Sensitivity and Forgetting via Hierarchical Second-Order Consolidation. CoRR Protik Nag, Krishnan Raghavan, Vignesh Narayanan
2026	J	`jnl`	Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors. CoRR Md. Abir Hossen, Mohammad Ali Javidian, Vignesh Narayanan, Jason M. O'Kane, Pooyan Jamshidi
2026	A*	`conf`	OMEGA: An Ontology-Driven Tool for Explaining Multi-Agent Path Finding. AAAI Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, Vignesh Narayanan
2026	J	`jnl`	Safe Data-Enabled Control of Human-in-the-Loop Robotic Manipulator Systems. IEEE Trans. Ind. Informatics Ritirupa Dey, Avimanyu Sahoo, Vignesh Narayanan
2025	J	`jnl`	A Novel Online Pseudospectral Method for Approximation of Nonlinear Systems Dynamics. CoRR Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
2025	C	`conf`	A Novel Online System Identification Using Chebyshev Polynomial Basis of the Second Kind. ACC Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
2025	J	`jnl`	Iterative Reservoir Computing Networks for Reconstructing Irregular Time Series. IEEE Trans. Neural Networks Learn. Syst. Yuan-Hung Kuan, Vignesh Narayanan, Jr-Shin Li
2025	—	`conf`	Online Pseudospectral Approach for System Identification and State Estimation. CDC Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
2025	J	`jnl`	Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks. CoRR Erik Connerty, Ethan N. Evans, Gerasimos Angelatos, Vignesh Narayanan
2025	J	`jnl`	Scalable Multi-Agent Path Finding using Collision-Aware Dynamic Alert Mask and a Hybrid Execution Strategy. CoRR Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, Vignesh Narayanan
2025	J	`jnl`	State-Constrained Online Adaptive Control for Robotic Manipulators. IEEE Control. Syst. Lett. Ritirupa Dey, Avimanyu Sahoo, Vignesh Narayanan
2024	—	`conf`	Aperiodic Sensing and Data-Driven System Identification of Nonlinear Systems Using Chebyshev Pseudospectral Approach. CDC Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
2024	—	`conf`	Causal Event Graph-Guided Language-based Spatiotemporal Question Answering. AAAI Spring Symposia Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan, Amit P. Sheth
2024	J	`jnl`	Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback. IEEE Trans. Neural Networks Learn. Syst. Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan
2024	J	`jnl`	Duality of Ensemble Systems Through Moment Representations. IEEE Trans. Autom. Control. Vignesh Narayanan, Wei Zhang, Jr-Shin Li
2024	—	`conf`	Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge. AAAI Spring Symposia Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Amit P. Sheth
2024	A*	`conf`	Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning. AAAI Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns
2024	J	`jnl`	Moment-Based Reinforcement Learning for Ensemble Control. IEEE Trans. Neural Networks Learn. Syst. Yao-Chi Yu, Vignesh Narayanan, Jr-Shin Li
2024	C	`conf`	Optimal Tracking of Uncertain Linear Discrete-Time Systems Using Trajectory-Dependent Lifelong Q-learning. ACC Maxwell Geiger, Vignesh Narayanan, Sarangapani Jagannathan
2024	J	`jnl`	Predicting Chaotic Systems with Quantum Echo-state Networks. CoRR Erik Connerty, Ethan N. Evans, Gerasimos Angelatos, Vignesh Narayanan
2024	J	`jnl`	RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines. Sensors Chathurangi Shyalika, Kaushik Roy, Renjith Prasad, Fadi El Kalach, Yuxin Zi, Priya Mittal, Vignesh Narayanan, Ramy F. Harik, Amit P. Sheth
2024	A*	`conf`	Towards Effective Planning Strategies for Dynamic Opinion Networks. NeurIPS Bharath Muppasani, Protik Nag, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns
2024	J	`jnl`	Towards Effective Planning Strategies for Dynamic Opinion Networks. CoRR Bharath Muppasani, Protik Nag, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns
2023	J	`jnl`	A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency. CoRR Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, Vignesh Narayanan
2023	B	`conf`	Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. SMC Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
2023	J	`jnl`	Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. CoRR Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
2023	—	`conf`	Core Temperature Estimation of Lithium-ion Batteries Under Internal Thermal Faults Using Neural Networks. CCTA Geetika Vennam, Avimanyu Sahoo, Vignesh Narayanan
2023	J	`jnl`	Evaluating Chatbots to Promote Users' Trust - Practices and Open Problems. CoRR Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi
2023	J	`jnl`	Event-Triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-Time Systems With State Delay. IEEE Trans. Syst. Man Cybern. Syst. Rohollah Moghadam, Vignesh Narayanan, Sarangapani Jagannathan
2023	J	`jnl`	IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2023	J	`jnl`	Interpretable Design of Reservoir Computing Networks Using Realization Theory. IEEE Trans. Neural Networks Learn. Syst. Wei Miao, Vignesh Narayanan, Jr-Shin Li
2023	J	`jnl`	Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. CoRR Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
2023	J	`jnl`	Knowledge-Infused Self Attention Transformers. CoRR Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2023	J	`jnl`	On safe and usable chatbots for promoting voter participation. AI Mag. Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan
2023	J	`jnl`	Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth
2022	J	`jnl`	Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems. IEEE Trans. Cybern. Vignesh Narayanan, Hamidreza Modares, Sarangapani Jagannathan, Frank L. Lewis
2022	J	`jnl`	KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2022	J	`jnl`	Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth
2022	J	`jnl`	On Safe and Usable Chatbots for Promoting Voter Participation. CoRR Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan
2021	J	`jnl`	A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data. Knowl. Inf. Syst. Liang Wang, Vignesh Narayanan, Yao-Chi Yu, Yikyung Park, Jr-Shin Li
2021	C	`conf`	Adaptive Gain Observers for Distributed State Estimation of Linear Systems. ACC Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao
2021	J	`jnl`	Cooperative Deep Q-learning Framework for Environments Providing Image Feedback. CoRR Raghavan Krishnan, Vignesh Narayanan, Jagannathan Sarangapani
2021	J	`jnl`	Interpretable Design of Reservoir Computing Networks using Realization Theory. CoRR Wei Miao, Vignesh Narayanan, Jr-Shin Li
2021	J	`jnl`	Learning to Control using Image Feedback. CoRR Krishnan Raghavan, Vignesh Narayanan, Jagannathan Saraangapani
2021	J	`jnl`	Model Learning and Knowledge Sharing for Cooperative Multiagent Systems in Stochastic Environment. IEEE Trans. Cybern. Wei-Cheng Jiang, Vignesh Narayanan, Jr-Shin Li
2021	—	`conf`	Securing social media for seniors from information attacks: Modeling, detecting, intervening, and communicating risks. TPS-ISA Vignesh Narayanan, Brett W. Robertson, Andrea Hickerson, Biplav Srivastava, Bryant Walker Smith
2020	J	`jnl`	Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players. Neural Networks Avimanyu Sahoo, Vignesh Narayanan
2020	—	`conf`	Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback. SSCI Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao
2020	C	`conf`	Learning to Control Neurons using Aggregated Measurements. ACC Yao-Chi Yu, Vignesh Narayanan, ShiNung Ching, Jr-Shin Li
2019	C	`conf`	A Learning Framework for Controlling Spiking Neural Networks. ACC Vignesh Narayanan, Jason T. Ritt, Jr-Shin Li, ShiNung Ching
2019	J	`jnl`	A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems. IEEE Trans. Ind. Electron. Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
2019	J	`jnl`	Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games. IEEE Trans. Neural Networks Learn. Syst. Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan, Koshy George
2019	J	`jnl`	Biophysically interpretable inference of single neuron dynamics. J. Comput. Neurosci. Vignesh Narayanan, Jr-Shin Li, ShiNung Ching
2019	J	`jnl`	Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Vignesh Narayanan, Sarangapani Jagannathan, Kannan Ramkumar
2019	J	`jnl`	Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach. Neural Networks Avimanyu Sahoo, Vignesh Narayanan
2019	—	`conf`	Robust Population Transfer for Coupled Spin Ensembles. CDC Wei Zhang, Vignesh Narayanan, Jr-Shin Li
2018	—	`conf`	Adaptive Optimal Distributed Control of Linear Interconnected Systems. SSCI Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
2018	—	`conf`	Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games. CDC Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
2018	J	`jnl`	Event-Sampled Direct Adaptive NN Output- and State-Feedback Control of Uncertain Strict-Feedback System. IEEE Trans. Neural Networks Learn. Syst. Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan
2018	J	`jnl`	Event-Triggered Distributed Approximate Optimal State and Output Control of Affine Nonlinear Interconnected Systems. IEEE Trans. Neural Networks Learn. Syst. Vignesh Narayanan, Sarangapani Jagannathan
2018	J	`jnl`	Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration. IEEE Trans. Cybern. Vignesh Narayanan, Sarangapani Jagannathan
2018	—	`conf`	Event-based Near Optimal Sampling and Tracking Control of Nonlinear Systems. CDC Avimanyu Sahoo, Vignesh Narayanan
2018	—	`conf`	Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games. SSCI Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
2018	C	`conf`	Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach. ACC Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
2017	C	`conf`	Distributed consensus-based event-triggered approximate control of nonholonomic mobile robot formations. ACC Haci Mehmet Guzey, Vignesh Narayanan, Sarangapani Jagannathan, Travis Dierks, Levent Acar
2017	C	`conf`	Event-sampled control of quadrotor unmanned aerial vehicle using neural networks. ACC Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan
2017	B	`conf`	Online reinforcement with exploration for distributed control. IJCNN Vignesh Narayanan, Sarangapani Jagannathan
2017	—	`conf`	Optimal event-triggered control of uncertain linear networked control systems: A co-design approach. SSCI Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
2017	—	`conf`	Optimal sampling and regulation of uncertain interconnected linear continuous time systems. SSCI Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
2016	—	`conf`	Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback. CDC Vignesh Narayanan, Sarangapani Jagannathan
2016	C	`conf`	Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems. ACC Vignesh Narayanan, Sarangapani Jagannathan
2016	B	`conf`	Event-sampled adaptive neural network control of robot manipulators. IJCNN Vignesh Narayanan, Sarangapani Jagannathan
2016	—	`conf`	Event-sampled direct adaptive NN state-feedback control of uncertain strict-feedback system. CDC Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan
2015	A	`conf`	A human factors analysis of proactive support in human-robot teaming. IROS Yu Zhang, Vignesh Narayanan, Tathagata Chakraborti, Subbarao Kambhampati
2015	—	`conf`	Automated Planning for Peer-to-peer Teaming and its Evaluation in Remote Human-Robot Interaction. HRI (Extended Abstracts) Vignesh Narayanan, Yu Zhang, Nathaniel Mendoza, Subbarao Kambhampati
2015	—	`conf`	Distributed Adaptive Optimal Regulation of Uncertain Large-Scale Linear Networked Control Systems Using Q-Learning. SSCI Vignesh Narayanan, Sarangapani Jagannathan
2014	J	`jnl`	Plan or not: Remote Human-robot Teaming with Incomplete Task Information. CoRR Vignesh Narayanan, Yu Zhang, Nathaniel Mendoza, Subbarao Kambhampati