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Vignesh Narayanan
Vignesh Narayanan
在 sc.edu 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Event-triggered distributed control of nonlinear interconnected systems using online reinforcement learning with exploration
V Narayanan, S Jagannathan
IEEE Transactions on Cybernetics 48 (9), 2510-2519, 2017
902017
Event-sampled output feedback control of robot manipulators using neural networks
V Narayanan, S Jagannathan, K Ramkumar
IEEE Transactions on Neural Networks and Learning Systems 30 (6), 1651-1658, 2018
612018
Event-sampled direct adaptive NN output-and state-feedback control of uncertain strict-feedback system
N Szanto, V Narayanan, S Jagannathan
IEEE Transactions on Neural Networks and Learning Systems 29 (5), 1850-1863, 2017
592017
Event-triggered distributed approximate optimal state and output control of affine nonlinear interconnected systems
V Narayanan, S Jagannathan
IEEE Transactions on Neural Networks and Learning Systems 29 (7), 2846-2856, 2017
562017
Approximate optimal distributed control of nonlinear interconnected systems using event-triggered nonzero-sum games
V Narayanan, A Sahoo, S Jagannathan, K George
IEEE transactions on neural networks and learning systems 30 (5), 1512-1522, 2018
542018
Event-driven off-policy reinforcement learning for control of interconnected systems
V Narayanan, H Modares, S Jagannathan, FL Lewis
IEEE Transactions on Cybernetics 52 (3), 1936-1946, 2022
402022
Learning to automate follow-up question generation using process knowledge for depression triage on reddit posts
S Gupta, A Agarwal, M Gaur, K Roy, V Narayanan, P Kumaraguru, ...
NAACL Workshop on Computational Linguistics and Clinical Psychology, 137-147, 2022
352022
Distributed adaptive optimal regulation of uncertain large‐scale interconnected systems using hybrid q‐learning approach
V Narayanan, S Jagannathan
IET Control Theory & Applications 10 (12), 1448-1457, 2016
252016
A min–max approach to event-and self-triggered sampling and regulation of linear systems
A Sahoo, V Narayanan, S Jagannathan
IEEE Transactions on Industrial Electronics 66 (7), 5433-5440, 2018
202018
Process Knowledge-infused Learning for Clinician-friendly Explanations
K Roy, Y Zi, M Gaur, J Malekar, Q Zhang, V Narayanan, A Sheth
AAAI Second Symposium on Human Partnership with Medical Artificial Intelligence, 2023
172023
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
R Venkataramanan, K Roy, K Raj, R Prasad, Y Zi, V Narayanan, A Sheth
IEEE Conference on Systems, Man, and Cybernetics, 2023
162023
Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback
V Narayanan, S Jagannathan
2016 IEEE 55th Conference on Decision and Control (CDC), 5827-5832, 2016
152016
Knowledge-Infused Self Attention Transformers
K Roy, Y Zi, V Narayanan, M Gaur, A Sheth
KDD Workshop on Knowledge Augmented Methods for NLP, 2023
14*2023
Model learning and knowledge sharing for cooperative multiagent systems in stochastic environment
WC Jiang, V Narayanan, JS Li
IEEE Transactions on Cybernetics, 2020
132020
Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach
A Sahoo, V Narayanan
Neural Networks 114, 78-90, 2019
112019
Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems
V Narayanan, S Jagannathan
2016 American Control Conference (ACC), 3044-3049, 2016
112016
IERL: Interpretable Ensemble Representation Learning--Combining CrowdSourced Knowledge and Distributed Semantic Representations
Y Zi, K Roy, V Narayanan, M Gaur, A Sheth
KDD Workshop on Knowledge-infused Learning, 2023
82023
Securing social media for seniors from information attacks: Modeling, detecting, intervening, and communicating risks
V Narayanan, BW Robertson, A Hickerson, B Srivastava, BW Smith
2021 Third IEEE International Conference on Trust, Privacy and Security in …, 2021
82021
Learning to control neurons using aggregated measurements
YC Yu, V Narayanan, SN Ching, JS Li
2020 American Control Conference (ACC), 4028-4033, 2020
82020
Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players
A Sahoo, V Narayanan
Neural Networks 124, 95-108, 2020
82020
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