Vignesh Narayanan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 58

Top Topics

Distributed Control

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Chathurangi Shyalika, Kaushik Roy, Renjith Prasad, Fadi El Kalach, Yuxin Zi, Priya Mittal, Vignesh Narayanan, Ramy F. Harik, Amit P. Sheth
RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines. Sensors 24 (10) (2024)
Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan, Amit P. Sheth
Causal Event Graph-Guided Language-based Spatiotemporal Question Answering. AAAI Spring Symposia (2024)
Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns
Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning. AAAI (2024)
Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Amit P. Sheth
Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge. AAAI Spring Symposia (2024)
Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Wei Miao, Vignesh Narayanan, Jr-Shin Li
Interpretable Design of Reservoir Computing Networks Using Realization Theory. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Rohollah Moghadam, Vignesh Narayanan, Sarangapani Jagannathan
Event-Triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-Time Systems With State Delay. IEEE Trans. Syst. Man Cybern. Syst. 53 (6) (2023)
Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR (2023)
Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. SMC (2023)
Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
Knowledge-Infused Self Attention Transformers. CoRR (2023)
Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. CoRR (2023)
Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. CoRR (2023)
Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, Vignesh Narayanan
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency. CoRR (2023)
Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan
On safe and usable chatbots for promoting voter participation. AI Mag. 44 (3) (2023)
Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth
Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR (2023)
Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi
Evaluating Chatbots to Promote Users' Trust - Practices and Open Problems. CoRR (2023)
Geetika Vennam, Avimanyu Sahoo, Vignesh Narayanan
Core Temperature Estimation of Lithium-ion Batteries Under Internal Thermal Faults Using Neural Networks. CCTA (2023)
Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR (2022)
Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan
On Safe and Usable Chatbots for Promoting Voter Participation. CoRR (2022)
Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR (2022)
Vignesh Narayanan, Hamidreza Modares, Sarangapani Jagannathan, Frank L. Lewis
Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems. IEEE Trans. Cybern. 52 (3) (2022)
Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao
Adaptive Gain Observers for Distributed State Estimation of Linear Systems. ACC (2021)
Vignesh Narayanan, Brett W. Robertson, Andrea Hickerson, Biplav Srivastava, Bryant Walker Smith
Securing social media for seniors from information attacks: Modeling, detecting, intervening, and communicating risks. TPS-ISA (2021)
Liang Wang, Vignesh Narayanan, Yao-Chi Yu, Yikyung Park, Jr-Shin Li
A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data. Knowl. Inf. Syst. 63 (7) (2021)
Wei Miao, Vignesh Narayanan, Jr-Shin Li
Interpretable Design of Reservoir Computing Networks using Realization Theory. CoRR (2021)
Wei-Cheng Jiang, Vignesh Narayanan, Jr-Shin Li
Model Learning and Knowledge Sharing for Cooperative Multiagent Systems in Stochastic Environment. IEEE Trans. Cybern. 51 (12) (2021)
Raghavan Krishnan, Vignesh Narayanan, Jagannathan Sarangapani
Cooperative Deep Q-learning Framework for Environments Providing Image Feedback. CoRR (2021)
Krishnan Raghavan, Vignesh Narayanan, Jagannathan Saraangapani
Learning to Control using Image Feedback. CoRR (2021)
Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao
Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback. SSCI (2020)
Avimanyu Sahoo, Vignesh Narayanan
Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players. Neural Networks 124 (2020)
Yao-Chi Yu, Vignesh Narayanan, ShiNung Ching, Jr-Shin Li
Learning to Control Neurons using Aggregated Measurements. ACC (2020)
Vignesh Narayanan, Jr-Shin Li, ShiNung Ching
Biophysically interpretable inference of single neuron dynamics. J. Comput. Neurosci. 47 (1) (2019)
Avimanyu Sahoo, Vignesh Narayanan
Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach. Neural Networks 114 (2019)
Wei Zhang, Vignesh Narayanan, Shin Li
Robust Population Transfer for Coupled Spin Ensembles. CDC (2019)
Vignesh Narayanan, Jason T. Ritt, Jr-Shin Li, ShiNung Ching
A Learning Framework for Controlling Spiking Neural Networks. ACC (2019)
Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan, Koshy George
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Vignesh Narayanan, Sarangapani Jagannathan, Kannan Ramkumar
Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems. IEEE Trans. Ind. Electron. 66 (7) (2019)
Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach. ACC (2018)
Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games. SSCI (2018)
Vignesh Narayanan, Sarangapani Jagannathan
Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration. IEEE Trans. Cybern. 48 (9) (2018)
Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
Adaptive Optimal Distributed Control of Linear Interconnected Systems. SSCI (2018)
Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games. CDC (2018)
Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan
Event-Sampled Direct Adaptive NN Output- and State-Feedback Control of Uncertain Strict-Feedback System. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Vignesh Narayanan, Sarangapani Jagannathan
Event-Triggered Distributed Approximate Optimal State and Output Control of Affine Nonlinear Interconnected Systems. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Avimanyu Sahoo, Vignesh Narayanan
Event-based Near Optimal Sampling and Tracking Control of Nonlinear Systems. CDC (2018)
Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan
Event-sampled control of quadrotor unmanned aerial vehicle using neural networks. ACC (2017)
Haci Mehmet Guzey, Vignesh Narayanan, Sarangapani Jagannathan, Travis Dierks, Levent Acar
Distributed consensus-based event-triggered approximate control of nonholonomic mobile robot formations. ACC (2017)
Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
Optimal event-triggered control of uncertain linear networked control systems: A co-design approach. SSCI (2017)
Vignesh Narayanan, Sarangapani Jagannathan
Online reinforcement with exploration for distributed control. IJCNN (2017)
Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
Optimal sampling and regulation of uncertain interconnected linear continuous time systems. SSCI (2017)
Vignesh Narayanan, Sarangapani Jagannathan
Event-sampled adaptive neural network control of robot manipulators. IJCNN (2016)
Vignesh Narayanan, Sarangapani Jagannathan
Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback. CDC (2016)
Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan
Event-sampled direct adaptive NN state-feedback control of uncertain strict-feedback system. CDC (2016)
Vignesh Narayanan, Sarangapani Jagannathan
Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems. ACC (2016)
Vignesh Narayanan, Yu Zhang, Nathaniel Mendoza, Subbarao Kambhampati
Automated Planning for Peer-to-peer Teaming and its Evaluation in Remote Human-Robot Interaction. HRI (Extended Abstracts) (2015)
Vignesh Narayanan, Sarangapani Jagannathan
Distributed Adaptive Optimal Regulation of Uncertain Large-Scale Linear Networked Control Systems Using Q-Learning. SSCI (2015)
Yu Zhang, Vignesh Narayanan, Tathagata Chakraborti, Subbarao Kambhampati
A human factors analysis of proactive support in human-robot teaming. IROS (2015)
Vignesh Narayanan, Yu Zhang, Nathaniel Mendoza, Subbarao Kambhampati
Plan or not: Remote Human-robot Teaming with Incomplete Task Information. CoRR (2014)