Authorship attribution using function words adjacency networks. - Santiago Segarra; Mark Eisen; Alejandro Ribeiro (ICASSP, 2013)

Authorship Attribution Through Function Word Adjacency Networks. - Santiago Segarra; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Signal Process., 2015)

A decentralized quasi-Newton method for dual formulations of consensus optimization. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (CDC, 2016)

An asynchronous Quasi-Newton method for consensus optimization. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (GlobalSIP, 2016)

A primal-dual Quasi-Newton method for consensus optimization. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (ACSSC, 2017)

An incremental quasi-Newton method with a local superlinear convergence rate. - Aryan Mokhtari; Mark Eisen; Alejandro Ribeiro (ICASSP, 2017)

Decentralized Quasi-Newton Methods. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Online Deep Learning in Wireless Communication Systems. - Mark Eisen; Clark Zhang; Luiz F. O. Chamon; Daniel D. Lee; Alejandro Ribeiro (ACSSC, 2018)

Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (AISTATS, 2018)

Learning in Non-Stationary Wireless Control Systems via Newton's Method. - Mark Eisen; Konstantinos Gatsis; George J. Pappas; Alejandro Ribeiro (ACC, 2018)

Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. - Mark Eisen; Konstantinos Gatsis; George J. Pappas; Alejandro Ribeiro (ICASSP, 2018)

Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels. - Mark Eisen; Konstantinos Gatsis; George J. Pappas; Alejandro Ribeiro (SPAWC, 2018)

Stylometric analysis of Early Modern period English plays. - Mark Eisen; Alejandro Ribeiro; Santiago Segarra; Gabriel Egan (Digit. Scholarsh. Humanit., 2018)

IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. - Aryan Mokhtari; Mark Eisen; Alejandro Ribeiro (SIAM J. Optim., 2018)

Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. - Zhan Gao; Mark Eisen; Alejandro Ribeiro (GLOBECOM, 2019)

Control Aware Communication Design for Time Sensitive Wireless Systems. - Mark Eisen; Mohammad M. Rashid; Konstantinos Gatsis; Dave Cavalcanti 001; Nageen Himayat; Alejandro Ribeiro (ICASSP, 2019)

Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. - Mark Eisen; Clark Zhang; Luiz F. O. Chamon; Daniel D. Lee; Alejandro Ribeiro (ICASSP, 2019)

Large Scale Wireless Power Allocation with Graph Neural Networks. - Mark Eisen; Alejandro Ribeiro (SPAWC, 2019)

Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient. - Vinícius Lima 002; Mark Eisen; Konstantinos Gatsis; Alejandro Ribeiro (CoRR, 2019)

Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. - Mark Eisen; Mohammad M. Rashid; Konstantinos Gatsis; Dave Cavalcanti 001; Nageen Himayat; Alejandro Ribeiro (IEEE Internet Things J., 2019)

Learning in Wireless Control Systems Over Nonstationary Channels. - Mark Eisen; Konstantinos Gatsis; George J. Pappas; Alejandro Ribeiro (IEEE Trans. Signal Process., 2019)

A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (IEEE Trans. Signal Process., 2019)

Learning Optimal Resource Allocations in Wireless Systems. - Mark Eisen; Clark Zhang; Luiz F. O. Chamon; Daniel D. Lee; Alejandro Ribeiro (IEEE Trans. Signal Process., 2019)

Network Performance Adaptation in Wireless Control with Reinforcement Learning. - Mark Eisen; K. G. Arjun; Amit S. Baxi; Dave Cavalcanti 001 (ACSSC, 2020)

Decentralized Wireless Resource Allocation with Graph Neural Networks. - Zhiyang Wang; Mark Eisen; Alejandro Ribeiro (ACSSC, 2020)

Learning Constrained Resource Allocation Policies in Wireless Control Systems. - Vinícius Lima 002; Mark Eisen; Alejandro Ribeiro (CDC, 2020)

Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. - Dionysios S. Kalogerias; Mark Eisen; George J. Pappas; Alejandro Ribeiro (EUSIPCO, 2020)

Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. - Zhan Gao; Mark Eisen; Alejandro Ribeiro (GLOBECOM, 2020)

Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. - Mark Eisen; Alejandro Ribeiro (ICASSP, 2020)

A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. - Dionysios S. Kalogerias; Mark Eisen; George J. Pappas; Alejandro Ribeiro (ICASSP, 2020)

Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. - Mark Eisen; Mohammad M. Rashid; Dave Cavalcanti 001; Alejandro Ribeiro (ICC Workshops, 2020)

Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. - Mark Eisen; Mohammad M. Rashid; Alejandro Ribeiro; Dave Cavalcanti 001 (ICC, 2020)

Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. - Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (SPAWC, 2020)

Resource Allocation in Wireless Control Systems via Deep Policy Gradient. - Vinícius Lima 002; Mark Eisen; Konstantinos Gatsis; Alejandro Ribeiro (SPAWC, 2020)

Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks. - Zhan Gao; Mark Eisen; Alejandro Ribeiro (CoRR, 2020)

Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. - Dionysios S. Kalogerias; Mark Eisen; George J. Pappas; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. - Zhiyang Wang; Mark Eisen; Alejandro Ribeiro (ICASSP, 2021)

Adaptive Wireless Power Allocation with Graph Neural Networks. - Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (ICASSP, 2022)

Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. - Zhiyang Wang; Luana Ruiz; Mark Eisen; Alejandro Ribeiro (ICASSP, 2022)

Communication-Control Co-design in Wireless Edge Industrial Systems. - Mark Eisen; Santosh Shukla; Dave Cavalcanti 001; Amit S. Baxi (WFCS, 2022)

A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. - Yigit Berkay Uslu; Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (CoRR, 2022)

Towards Factory-Scale Edge Robotic Systems: Challenges and Research Directions. - Amit S. Baxi; Mark Eisen; Susruth Sudhakaran; Fabian Oboril; Girish S. Murthy; Vincent Mageshkumar; Michael Paulitsch; Margaret Huang (IEEE Internet Things Mag., 2022)

How the Word Adjacency Network (WAN) works. - Paul Brown; Mark Eisen; Santiago Segarra; Alejandro Ribeiro; Gabriel Egan (Digit. Scholarsh. Humanit., 2022)

Model-Free design of control systems over wireless fading channels. - Vinícius Lima 002; Mark Eisen; Konstantinos Gatsis; Alejandro Ribeiro (Signal Process., 2022)

Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications. - Zhan Gao; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Commun., 2022)

State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. - Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Signal Process., 2022)

Learning Decentralized Wireless Resource Allocations With Graph Neural Networks. - Zhiyang Wang; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Signal Process., 2022)

Communication-Control Co-design for Robotic Manipulation in 5G Industrial IoT. - Arvind Merwaday; Rath Vannithamby; Mark Eisen; Susruth Sudhakaran; Dave A. T. Cavalcanti; Valerio Frascolla (INDIN, 2023)

Zero-Delay Roaming for Mobile Robots Enabled by Wireless TSN Redundancy. - Susruth Sudhakaran; Ibrahim Ali; Mark Eisen; Javier Perez-Ramirez; Cosmin Cazan; Valerio Frascolla; Dave Cavalcanti 001 (WFCS, 2023)

Learning Resilient Radio Resource Management Policies With Graph Neural Networks. - Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. - Gabriel Egan; Mark Eisen; Alejandro Ribeiro; Santiago Segarra (Digit. Scholarsh. Humanit., 2023)

A reply to Pervez Rizvi's letter. - Gabriel Egan; Mark Eisen; Alejandro Ribeiro; Santiago Segarra (Digit. Scholarsh. Humanit., 2024)

L-NORM: Learning and Network Orchestration at the Edge for Robot Connectivity and Mobility in Factory Floor Environments. - Subhramoy Mohanti; Debashri Roy; Mark Eisen; Dave Cavalcanti 001; Kaushik R. Chowdhury (IEEE Trans. Mob. Comput., 2024)

Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression. - Yigit Berkay Uslu; Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (CoRR, 2025)