Mark Eisen

IEEE Trans. Signal Process., 2023

Zero-Delay Roaming for Mobile Robots Enabled by Wireless TSN Redundancy.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Factory Communication Systems, 2023

Communication-Control Co-design for Robotic Manipulation in 5G Industrial IoT.

[BibT_eX]

[DOI]

Dave A. T. Cavalcanti

Valerio Frascolla

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

2022

Learning Decentralized Wireless Resource Allocations With Graph Neural Networks.

[BibT_eX]

[DOI]

Zhiyang Wang

IEEE Trans. Signal Process., 2022

State-Augmented Learnable Algorithms for Resource Management in Wireless Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Model-Free design of control systems over wireless fading channels.

[BibT_eX]

[DOI]

Signal Process., 2022

How the Word Adjacency Network (WAN) works.

[BibT_eX]

[DOI]

Digit. Scholarsh. Humanit., 2022

Towards Factory-Scale Edge Robotic Systems: Challenges and Research Directions.

[BibT_eX]

[DOI]

IEEE Internet Things Mag., 2022

A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Communication-Control Co-design in Wireless Edge Industrial Systems.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Factory Communication Systems, 2022

Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Wireless Power Allocation with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks.

[BibT_eX]

[DOI]

Zhiyang Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Model-Free Learning of Optimal Ergodic Policies in Wireless Systems.

[BibT_eX]

[DOI]

Dionysios S. Kalogerias

George J. Pappas

IEEE Trans. Signal Process., 2020

Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Resource Allocation in Wireless Control Systems via Deep Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Wireless Power Control via Counterfactual Optimization of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients.

[BibT_eX]

[DOI]

Dionysios S. Kalogerias

George J. Pappas

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems.

[BibT_eX]

[DOI]

Dionysios S. Kalogerias

George J. Pappas

Proceedings of the 28th European Signal Processing Conference, 2020

Learning Constrained Resource Allocation Policies in Wireless Control Systems.

[BibT_eX]

[DOI]

Vinícius Lima

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Decentralized Wireless Resource Allocation with Graph Neural Networks.

[BibT_eX]

[DOI]

Zhiyang Wang

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Network Performance Adaptation in Wireless Control with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Learning Optimal Resource Allocations in Wireless Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Learning in Wireless Control Systems Over Nonstationary Channels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient.

[BibT_eX]

[DOI]

CoRR, 2019

Large Scale Wireless Power Allocation with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Dual Domain Learning of Optimal Resource Allocations in Wireless Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Control Aware Communication Design for Time Sensitive Wireless Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate.

[BibT_eX]

[DOI]

SIAM J. Optim., 2018

Stylometric analysis of Early Modern period English plays.

[BibT_eX]

[DOI]

Digit. Scholarsh. Humanit., 2018

Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning in Non-Stationary Wireless Control Systems via Newton's Method.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Online Deep Learning in Wireless Communication Systems.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Decentralized Quasi-Newton Methods.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

An incremental quasi-Newton method with a local superlinear convergence rate.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A primal-dual Quasi-Newton method for consensus optimization.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

An asynchronous Quasi-Newton method for consensus optimization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A decentralized quasi-Newton method for dual formulations of consensus optimization.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Authorship Attribution Through Function Word Adjacency Networks.

[BibT_eX]

[DOI]

Santiago Segarra

IEEE Trans. Signal Process., 2015

2013

Authorship attribution using function words adjacency networks.

[BibT_eX]

[DOI]

Santiago Segarra