Arunselvan Ramaswamy
Orcid: 0000-0001-7547-8111
According to our database1,
Arunselvan Ramaswamy
authored at least 33 papers
between 2014 and 2024.
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Bibliography
2024
Information Theoretic Deductions Using Machine Learning with an Application in Sociology.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024
Modeling Batch Tasks Using Recurrent Neural Networks in Co-Located Alibaba Workloads.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024
2023
Reinforcement learning for autonomous vehicle movements in wireless multimedia applications.
Pervasive Mob. Comput., 2023
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks.
CoRR, 2023
Stability and Convergence of Distributed Stochastic Approximations with large Unbounded Stochastic Information Delays.
CoRR, 2023
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023
2022
IEEE Trans. Artif. Intell., 2022
IEEE Trans. Autom. Control., 2022
Distributed gradient-based optimization in the presence of dependent aperiodic communication.
CoRR, 2022
Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Age of Information Process under Strongly Mixing Communication - Moment Bound, Mixing Rate and Strong Law.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
2021
Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning.
IEEE Trans. Autom. Control., 2021
IACR Cryptol. ePrint Arch., 2021
Practical sufficient conditions for convergence of distributed optimisation algorithms over communication networks with interference.
CoRR, 2021
Proceedings of the ICC 2021, 2021
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021
2020
Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems.
Autom., 2020
Proceedings of the 28th Euromicro International Conference on Parallel, 2020
2019
Stability of Stochastic Approximations With "Controlled Markov" Noise and Temporal Difference Learning.
IEEE Trans. Autom. Control., 2019
CoRR, 2019
Proceedings of the Advances in Computer Vision, 2019
2018
IEEE Trans. Autom. Control., 2018
IEEE Control. Syst. Lett., 2018
2017
Math. Oper. Res., 2017
Conditions for Stability and Convergence of Set-Valued Stochastic Approximations: Applications to Approximate Value and Fixed point Iterations with Noise.
CoRR, 2017
2016
Gradient-based learning algorithms with constant-error estimators: stability and convergence.
CoRR, 2016
2015
2014