Vignesh Narayanan

Orcid: 0000-0002-9505-7143

According to our database1, Vignesh Narayanan authored at least 52 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Interpretable Design of Reservoir Computing Networks Using Realization Theory.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

On safe and usable chatbots for promoting voter participation.
AI Mag., September, 2023

Event-Triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-Time Systems With State Delay.
IEEE Trans. Syst. Man Cybern. Syst., June, 2023

Evaluating Chatbots to Promote Users' Trust - Practices and Open Problems.
CoRR, 2023

A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency.
CoRR, 2023

IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations.
CoRR, 2023

Knowledge-Infused Self Attention Transformers.
CoRR, 2023

Process Knowledge-infused Learning for Clinician-friendly Explanations.
CoRR, 2023

Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust.
CoRR, 2023

Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Core Temperature Estimation of Lithium-ion Batteries Under Internal Thermal Faults Using Neural Networks.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems.
IEEE Trans. Cybern., 2022

KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts.
CoRR, 2022

Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts.
CoRR, 2022

2021
Model Learning and Knowledge Sharing for Cooperative Multiagent Systems in Stochastic Environment.
IEEE Trans. Cybern., 2021

A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data.
Knowl. Inf. Syst., 2021

Cooperative Deep Q-learning Framework for Environments Providing Image Feedback.
CoRR, 2021

Learning to Control using Image Feedback.
CoRR, 2021

Securing social media for seniors from information attacks: Modeling, detecting, intervening, and communicating risks.
Proceedings of the 3rd IEEE International Conference on Trust, 2021

Adaptive Gain Observers for Distributed State Estimation of Linear Systems.
Proceedings of the 2021 American Control Conference, 2021

2020
Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players.
Neural Networks, 2020

Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Learning to Control Neurons using Aggregated Measurements.
Proceedings of the 2020 American Control Conference, 2020

2019
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games.
IEEE Trans. Neural Networks Learn. Syst., 2019

Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems.
IEEE Trans. Ind. Electron., 2019

Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach.
Neural Networks, 2019

Biophysically interpretable inference of single neuron dynamics.
J. Comput. Neurosci., 2019

Robust Population Transfer for Coupled Spin Ensembles.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Learning Framework for Controlling Spiking Neural Networks.
Proceedings of the 2019 American Control Conference, 2019

2018
Event-Sampled Direct Adaptive NN Output- and State-Feedback Control of Uncertain Strict-Feedback System.
IEEE Trans. Neural Networks Learn. Syst., 2018

Event-Triggered Distributed Approximate Optimal State and Output Control of Affine Nonlinear Interconnected Systems.
IEEE Trans. Neural Networks Learn. Syst., 2018

Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration.
IEEE Trans. Cybern., 2018

Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Adaptive Optimal Distributed Control of Linear Interconnected Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Event-based Near Optimal Sampling and Tracking Control of Nonlinear Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Optimal event-triggered control of uncertain linear networked control systems: A co-design approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Optimal sampling and regulation of uncertain interconnected linear continuous time systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Online reinforcement with exploration for distributed control.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Event-sampled control of quadrotor unmanned aerial vehicle using neural networks.
Proceedings of the 2017 American Control Conference, 2017

Distributed consensus-based event-triggered approximate control of nonholonomic mobile robot formations.
Proceedings of the 2017 American Control Conference, 2017

2016
Event-sampled adaptive neural network control of robot manipulators.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Event-sampled direct adaptive NN state-feedback control of uncertain strict-feedback system.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems.
Proceedings of the 2016 American Control Conference, 2016

2015
Distributed Adaptive Optimal Regulation of Uncertain Large-Scale Linear Networked Control Systems Using Q-Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A human factors analysis of proactive support in human-robot teaming.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Automated Planning for Peer-to-peer Teaming and its Evaluation in Remote Human-Robot Interaction.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

2014
Plan or not: Remote Human-robot Teaming with Incomplete Task Information.
CoRR, 2014


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