Mark Eisen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 67

Top Topics

Authorship Attribution

Wireless Systems

Top Venues

IEEE Trans. Signal Process.

Publications

Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra
A reply to Pervez Rizvi's letter. Digit. Scholarsh. Humanit. 39 (1) (2024)
Subhramoy Mohanti, Debashri Roy, Mark Eisen, Dave Cavalcanti, Kaushik R. Chowdhury
L-NORM: Learning and Network Orchestration at the Edge for Robot Connectivity and Mobility in Factory Floor Environments. IEEE Trans. Mob. Comput. 23 (4) (2024)
Arvind Merwaday, Rath Vannithamby, Mark Eisen, Susruth Sudhakaran, Dave A. T. Cavalcanti, Valerio Frascolla
Communication-Control Co-design for Robotic Manipulation in 5G Industrial IoT. INDIN (2023)
Susruth Sudhakaran, Ibrahim Ali, Mark Eisen, Javier Perez-Ramirez, Cosmin Cazan, Valerio Frascolla, Dave Cavalcanti
Zero-Delay Roaming for Mobile Robots Enabled by Wireless TSN Redundancy. WFCS (2023)
Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra
"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. Digit. Scholarsh. Humanit. 38 (4) (2023)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Learning Resilient Radio Resource Management Policies With Graph Neural Networks. IEEE Trans. Signal Process. 71 (2023)
Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. CoRR (2022)
Zhan Gao, Mark Eisen, Alejandro Ribeiro
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications. IEEE Trans. Commun. 70 (2) (2022)
Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro
Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP (2022)
Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
Learning Decentralized Wireless Resource Allocations With Graph Neural Networks. IEEE Trans. Signal Process. 70 (2022)
Mark Eisen, Santosh Shukla, Dave Cavalcanti, Amit S. Baxi
Communication-Control Co-design in Wireless Edge Industrial Systems. WFCS (2022)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Adaptive Wireless Power Allocation with Graph Neural Networks. ICASSP (2022)
Mark Eisen, Santosh Shukla, Dave Cavalcanti, Amit S. Baxi
Communication-Control Co-design in Wireless Edge Industrial Systems. CoRR (2022)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. IEEE Trans. Signal Process. 70 (2022)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Learning Resilient Radio Resource Management Policies with Graph Neural Networks. CoRR (2022)
Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
Model-Free design of control systems over wireless fading channels. Signal Process. 197 (2022)
Paul Brown, Mark Eisen, Santiago Segarra, Alejandro Ribeiro, Gabriel Egan
How the Word Adjacency Network (WAN) works. Digit. Scholarsh. Humanit. 37 (2) (2022)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. CoRR (2022)
Amit S. Baxi, Mark Eisen, Susruth Sudhakaran, Fabian Oboril, Girish S. Murthy, Vincent Mageshkumar, Michael Paulitsch, Margaret Huang
Towards Factory-Scale Edge Robotic Systems: Challenges and Research Directions. IEEE Internet Things Mag. 5 (3) (2022)
Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. ICASSP (2021)
Mark Eisen, Alejandro Ribeiro
Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. ICASSP (2020)
Vinicius Lima Silva, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
Resource Allocation in Wireless Control Systems via Deep Policy Gradient. SPAWC (2020)
Mark Eisen, K. G. Arjun, Amit S. Baxi, Dave Cavalcanti
Network Performance Adaptation in Wireless Control with Reinforcement Learning. ACSSC (2020)
Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti
Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. ICC (2020)
Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
Decentralized Wireless Resource Allocation with Graph Neural Networks. ACSSC (2020)
Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. IEEE Trans. Signal Process. 68 (2020)
Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. ICASSP (2020)
Vinicius Lima Silva, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
Model-Free Design of Control Systems over Wireless Fading Channels. CoRR (2020)
Vinicius Lima Silva, Mark Eisen, Alejandro Ribeiro
Learning Constrained Resource Allocation Policies in Wireless Control Systems. CDC (2020)
Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. ICC Workshops (2020)
Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. EUSIPCO (2020)
Zhan Gao, Mark Eisen, Alejandro Ribeiro
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. GLOBECOM (2020)
Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks. CoRR (2020)
Zhan Gao, Mark Eisen, Alejandro Ribeiro
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. CoRR (2020)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. SPAWC (2020)
Zhan Gao, Mark Eisen, Alejandro Ribeiro
Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks. CoRR (2020)
Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. CoRR (2020)
Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
Control Aware Communication Design for Time Sensitive Wireless Systems. ICASSP (2019)
Mark Eisen, Alejandro Ribeiro
Large Scale Wireless Power Allocation with Graph Neural Networks. SPAWC (2019)
Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti
Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. CoRR (2019)
Zhan Gao, Mark Eisen, Alejandro Ribeiro
Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. GLOBECOM (2019)
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization. IEEE Trans. Signal Process. 67 (23) (2019)
Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
Learning in Wireless Control Systems Over Nonstationary Channels. IEEE Trans. Signal Process. 67 (5) (2019)
Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. IEEE Internet Things J. 6 (5) (2019)
Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. CoRR (2019)
Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. CoRR (2019)
Vinicius Lima Silva, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient. CoRR (2019)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Learning Optimal Resource Allocations in Wireless Systems. IEEE Trans. Signal Process. 67 (10) (2019)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. ICASSP (2019)
Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
Learning in Non-Stationary Wireless Control Systems via Newton's Method. ACC (2018)
Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. SIAM J. Optim. 28 (2) (2018)
Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. ICASSP (2018)
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. AISTATS (2018)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Learning Optimal Resource Allocations in Wireless Systems. CoRR (2018)
Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. CoRR (2018)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Online Deep Learning in Wireless Communication Systems. ACSSC (2018)
Mark Eisen, Alejandro Ribeiro, Santiago Segarra, Gabriel Egan
Stylometric analysis of Early Modern period English plays. Digit. Scholarsh. Humanit. 33 (3) (2018)
Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels. SPAWC (2018)
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
A primal-dual Quasi-Newton method for consensus optimization. ACSSC (2017)
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. CoRR (2017)
Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. CoRR (2017)
Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
An incremental quasi-Newton method with a local superlinear convergence rate. ICASSP (2017)
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
Decentralized Quasi-Newton Methods. IEEE Trans. Signal Process. 65 (10) (2017)
Mark Eisen, Santiago Segarra, Gabriel Egan, Alejandro Ribeiro
Stylometric Analysis of Early Modern Period English Plays. CoRR (2016)
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
A decentralized quasi-Newton method for dual formulations of consensus optimization. CDC (2016)
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
An asynchronous Quasi-Newton method for consensus optimization. GlobalSIP (2016)
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization. CoRR (2016)
Santiago Segarra, Mark Eisen, Alejandro Ribeiro
Authorship Attribution Through Function Word Adjacency Networks. IEEE Trans. Signal Process. 63 (20) (2015)
Santiago Segarra, Mark Eisen, Alejandro Ribeiro
Authorship Attribution through Function Word Adjacency Networks. CoRR (2014)
Santiago Segarra, Mark Eisen, Alejandro Ribeiro
Authorship attribution using function words adjacency networks. ICASSP (2013)