Arunselvan Ramaswamy

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Topics

Wireless Sensor

Temporal Difference

Stochastic Approximation

Reinforcement Learning

Top Venues

IEEE Trans. Autom. Control.

Math. Oper. Res.

Publications

Hifza Khalid, Arunselvan Ramaswamy, Simone Ferlin, Alva L. Couch
Modeling Batch Tasks Using Recurrent Neural Networks in Co-Located Alibaba Workloads. ICPRAM (2024)
Ayeh Mahjoubi, Arunselvan Ramaswamy, Karl-Johan Grinnemo
An Online Simulated Annealing-Based Task Offloading Strategy for a Mobile Edge Architecture. IEEE Access 12 (2024)
Arunselvan Ramaswamy, Yunpeng Ma, Stefan Alfredsson, Fran Collyer, Anna Brunström
Information Theoretic Deductions Using Machine Learning with an Application in Sociology. ICPRAM (2024)
Arunselvan Ramaswamy, Shalabh Bhatnagar, Naman Saxena
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks. CoRR (2023)
Arunselvan Ramaswamy
Gradient Clipping in Deep Learning: A Dynamical Systems Perspective. ICPRAM (2023)
Haitham Afifi, Arunselvan Ramaswamy, Holger Karl
Reinforcement learning for autonomous vehicle movements in wireless multimedia applications. Pervasive Mob. Comput. 92 (2023)
Adrian Redder, Arunselvan Ramaswamy, Holger Karl
Stability and Convergence of Distributed Stochastic Approximations with large Unbounded Stochastic Information Delays. CoRR (2023)
Arunselvan Ramaswamy, Eyke Hüllermeier
Deep Q-Learning: Theoretical Insights From an Asymptotic Analysis. IEEE Trans. Artif. Intell. 3 (2) (2022)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Analyzing Approximate Value Iteration Algorithms. Math. Oper. Res. 47 (3) (2022)
Adrian Redder, Arunselvan Ramaswamy, Holger Karl
Age of Information Process under Strongly Mixing Communication - Moment Bound, Mixing Rate and Strong Law. Allerton (2022)
Adrian Redder, Arunselvan Ramaswamy, Holger Karl
Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. CoRR (2022)
Adrian Redder, Arunselvan Ramaswamy, Holger Karl
Distributed gradient-based optimization in the presence of dependent aperiodic communication. CoRR (2022)
Arunselvan Ramaswamy, Adrian Redder, Daniel E. Quevedo
Optimization Over Time-Varying Networks and Unbounded Information Delays. IEEE Trans. Autom. Control. 67 (8) (2022)
Adrian Redder, Arunselvan Ramaswamy, Holger Karl
Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. ICAART (1) (2022)
Pritha Gupta, Arunselvan Ramaswamy, Jan Peter Drees, Eyke Hüllermeier, Claudia Priesterjahn, Tibor Jager
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols. ICAART (2) (2022)
Jan Peter Drees, Pritha Gupta, Eyke Hüllermeier, Tibor Jager, Alexander Konze, Claudia Priesterjahn, Arunselvan Ramaswamy, Juraj Somorovsky
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! IACR Cryptol. ePrint Arch. 2021 (2021)
Jan Peter Drees, Pritha Gupta, Eyke Hüllermeier, Tibor Jager, Alexander Konze, Claudia Priesterjahn, Arunselvan Ramaswamy, Juraj Somorovsky
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! AISec@CCS (2021)
Arunselvan Ramaswamy, Shalabh Bhatnagar, Daniel E. Quevedo
Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning. IEEE Trans. Autom. Control. 66 (9) (2021)
Haitham Afifi, Arunselvan Ramaswamy, Holger Karl
A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. CCNC (2021)
Adrian Redder, Arunselvan Ramaswamy, Holger Karl
Practical sufficient conditions for convergence of distributed optimisation algorithms over communication networks with interference. CoRR (2021)
Haitham Afifi, Arunselvan Ramaswamy, Holger Karl
Reinforcement Learning for Autonomous Vehicle Movements in Wireless Sensor Networks. ICC (2021)
Arunselvan Ramaswamy
DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme. PDP (2020)
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, Ling Shi
Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems. Autom. 113 (2020)
Arunselvan Ramaswamy
Theory of Deep Q-Learning: A Dynamical Systems Perspective. CoRR (2020)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Stability of Stochastic Approximations With "Controlled Markov" Noise and Temporal Difference Learning. IEEE Trans. Autom. Control. 64 (6) (2019)
Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo
Deep reinforcement learning for scheduling in large-scale networked control systems. CoRR (2019)
Jonas König, Simon Malberg, Martin Martens, Sebastian Niehaus, Artus Krohn-Grimberghe, Arunselvan Ramaswamy
Multi-stage Reinforcement Learning for Object Detection. CVC (1) (2019)
Arunselvan Ramaswamy
DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme. CoRR (2019)
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling. CoRR (2018)
Jonas König, Simon Malberg, Martin Martens, Sebastian Niehaus, Artus Krohn-Grimberghe, Arunselvan Ramaswamy
Multi-Stage Reinforcement Learning For Object Detection. CoRR (2018)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Analysis of Gradient Descent Methods With Nondiminishing Bounded Errors. IEEE Trans. Autom. Control. 63 (5) (2018)
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, Ling Shi
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems. CoRR (2018)
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling. IEEE Control. Syst. Lett. 2 (4) (2018)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Conditions for Stability and Convergence of Set-Valued Stochastic Approximations: Applications to Approximate Value and Fixed point Iterations with Noise. CoRR (2017)
Arunselvan Ramaswamy, Shalabh Bhatnagar
A Generalization of the Borkar-Meyn Theorem for Stochastic Recursive Inclusions. Math. Oper. Res. 42 (3) (2017)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Gradient-based learning algorithms with constant-error estimators: stability and convergence. CoRR (2016)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Stochastic recursive inclusions with two timescales. CoRR (2015)
Arunselvan Ramaswamy, Shalabh Bhatnagar
A Generalization of the Borkar-Meyn Theorem for Stochastic Recursive Inclusions. CoRR (2015)
Arunselvan Ramaswamy, Shalabh Bhatnagar
Stability of Stochastic Approximations with 'Controlled Markov' Noise and Temporal Difference Learning. CoRR (2015)
Manu Basavaraju, L. Sunil Chandran, Deepak Rajendraprasad, Arunselvan Ramaswamy
Rainbow Connection Number of Graph Power and Graph Products. Graphs Comb. 30 (6) (2014)
Manu Basavaraju, L. Sunil Chandran, Deepak Rajendraprasad, Arunselvan Ramaswamy
Rainbow Connection Number and Radius. Graphs Comb. 30 (2) (2014)
Manu Basavaraju, L. Sunil Chandran, Deepak Rajendraprasad, Arunselvan Ramaswamy
Rainbow Connection Number of Graph Power and Graph Products. CoRR (2011)
Manu Basavaraju, L. Sunil Chandran, Deepak Rajendraprasad, Arunselvan Ramaswamy
Rainbow Connection Number and Radius CoRR (2010)