Mark Eisen - RankMe

73 papers A 1B 2C 4Misc 14Journal 42Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deep Learning-Based Resource Allocator for Communication Networks With Dynamic User Utility Demands. IEEE Trans. Wirel. Commun. Pourya Behmandpoor, Mark Eisen, Panagiotis Patrinos, Marc Moonen
2026	J	`jnl`	DARWIN: Digital Twin Assisted Robot Navigation and WIreless Network Management. IEEE Trans. Mob. Comput. Batool Salehi, Debashri Roy, Mark Eisen, Amit S. Baxi, Dave Cavalcanti, Kaushik R. Chowdhury
2025	J	`jnl`	Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression. CoRR Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2024	J	`jnl`	A reply to Pervez Rizvi's letter. Digit. Scholarsh. Humanit. Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra
2024	J	`jnl`	L-NORM: Learning and Network Orchestration at the Edge for Robot Connectivity and Mobility in Factory Floor Environments. IEEE Trans. Mob. Comput. Subhramoy Mohanti, Debashri Roy, Mark Eisen, Dave Cavalcanti, Kaushik R. Chowdhury
2023	J	`jnl`	"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. Digit. Scholarsh. Humanit. Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra
2023	C	`conf`	Communication-Control Co-design for Robotic Manipulation in 5G Industrial IoT. INDIN Arvind Merwaday, Rath Vannithamby, Mark Eisen, Susruth Sudhakaran, Dave A. T. Cavalcanti, Valerio Frascolla
2023	J	`jnl`	Learning Resilient Radio Resource Management Policies With Graph Neural Networks. IEEE Trans. Signal Process. Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2023	C	`conf`	Zero-Delay Roaming for Mobile Robots Enabled by Wireless TSN Redundancy. WFCS Susruth Sudhakaran, Ibrahim Ali, Mark Eisen, Javier Perez-Ramirez, Cosmin Cazan, Valerio Frascolla, Dave Cavalcanti
2022	J	`jnl`	A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. CoRR Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	Misc	`conf`	Adaptive Wireless Power Allocation with Graph Neural Networks. ICASSP Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	C	`conf`	Communication-Control Co-design in Wireless Edge Industrial Systems. WFCS Mark Eisen, Santosh Shukla, Dave Cavalcanti, Amit S. Baxi
2022	J	`jnl`	Communication-Control Co-design in Wireless Edge Industrial Systems. CoRR Mark Eisen, Santosh Shukla, Dave Cavalcanti, Amit S. Baxi
2022	J	`jnl`	How the Word Adjacency Network (WAN) works. Digit. Scholarsh. Humanit. Paul Brown, Mark Eisen, Santiago Segarra, Alejandro Ribeiro, Gabriel Egan
2022	J	`jnl`	Learning Decentralized Wireless Resource Allocations With Graph Neural Networks. IEEE Trans. Signal Process. Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	Learning Resilient Radio Resource Management Policies with Graph Neural Networks. CoRR Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	Model-Free design of control systems over wireless fading channels. Signal Process. Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
2022	J	`jnl`	Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications. IEEE Trans. Commun. Zhan Gao, Mark Eisen, Alejandro Ribeiro
2022	Misc	`conf`	Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. CoRR Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. IEEE Trans. Signal Process. Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	Towards Factory-Scale Edge Robotic Systems: Challenges and Research Directions. IEEE Internet Things Mag. Amit S. Baxi, Mark Eisen, Susruth Sudhakaran, Fabian Oboril, Girish S. Murthy, Vincent Mageshkumar, Michael Paulitsch, Margaret Huang
2021	Misc	`conf`	Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. ICASSP Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
2020	Misc	`conf`	A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. ICASSP Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
2020	—	`conf`	Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. EUSIPCO Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
2020	—	`conf`	Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. ICC Workshops Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro
2020	Misc	`conf`	Decentralized Wireless Resource Allocation with Graph Neural Networks. ACSSC Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
2020	—	`conf`	Learning Constrained Resource Allocation Policies in Wireless Control Systems. CDC Vinícius Lima, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Model-Free Design of Control Systems over Wireless Fading Channels. CoRR Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
2020	J	`jnl`	Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. IEEE Trans. Signal Process. Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
2020	Misc	`conf`	Network Performance Adaptation in Wireless Control with Reinforcement Learning. ACSSC Mark Eisen, K. G. Arjun, Amit S. Baxi, Dave Cavalcanti
2020	—	`conf`	Resource Allocation in Wireless Control Systems via Deep Policy Gradient. SPAWC Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
2020	B	`conf`	Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. GLOBECOM Zhan Gao, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. CoRR Zhan Gao, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks. CoRR Zhan Gao, Mark Eisen, Alejandro Ribeiro
2020	—	`conf`	Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. ICC Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti
2020	Misc	`conf`	Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. ICASSP Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks. CoRR Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
2020	—	`conf`	Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. SPAWC Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2020	J	`jnl`	Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. CoRR Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro
2019	J	`jnl`	A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization. IEEE Trans. Signal Process. Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2019	Misc	`conf`	Control Aware Communication Design for Time Sensitive Wireless Systems. ICASSP Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
2019	J	`jnl`	Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. IEEE Internet Things J. Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
2019	J	`jnl`	Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. CoRR Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro
2019	Misc	`conf`	Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. ICASSP Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2019	—	`conf`	Large Scale Wireless Power Allocation with Graph Neural Networks. SPAWC Mark Eisen, Alejandro Ribeiro
2019	J	`jnl`	Learning Optimal Resource Allocations in Wireless Systems. IEEE Trans. Signal Process. Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2019	J	`jnl`	Learning in Wireless Control Systems Over Nonstationary Channels. IEEE Trans. Signal Process. Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
2019	J	`jnl`	Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. CoRR Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro
2019	J	`jnl`	Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient. CoRR Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro
2019	B	`conf`	Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. GLOBECOM Zhan Gao, Mark Eisen, Alejandro Ribeiro
2019	J	`jnl`	Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. CoRR Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti
2018	J	`jnl`	Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. CoRR Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro
2018	J	`jnl`	IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. SIAM J. Optim. Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
2018	A	`conf`	Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. AISTATS Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2018	J	`jnl`	Learning Optimal Resource Allocations in Wireless Systems. CoRR Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2018	Misc	`conf`	Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. ICASSP Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
2018	C	`conf`	Learning in Non-Stationary Wireless Control Systems via Newton's Method. ACC Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
2018	Misc	`conf`	Online Deep Learning in Wireless Communication Systems. ACSSC Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
2018	—	`conf`	Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels. SPAWC Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro
2018	J	`jnl`	Stylometric analysis of Early Modern period English plays. Digit. Scholarsh. Humanit. Mark Eisen, Alejandro Ribeiro, Santiago Segarra, Gabriel Egan
2017	Misc	`conf`	A primal-dual Quasi-Newton method for consensus optimization. ACSSC Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2017	Misc	`conf`	An incremental quasi-Newton method with a local superlinear convergence rate. ICASSP Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
2017	J	`jnl`	Decentralized Quasi-Newton Methods. IEEE Trans. Signal Process. Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2017	J	`jnl`	IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. CoRR Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
2017	J	`jnl`	Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. CoRR Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2016	J	`jnl`	A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization. CoRR Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2016	—	`conf`	A decentralized quasi-Newton method for dual formulations of consensus optimization. CDC Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2016	—	`conf`	An asynchronous Quasi-Newton method for consensus optimization. GlobalSIP Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
2016	J	`jnl`	Stylometric Analysis of Early Modern Period English Plays. CoRR Mark Eisen, Santiago Segarra, Gabriel Egan, Alejandro Ribeiro
2015	J	`jnl`	Authorship Attribution Through Function Word Adjacency Networks. IEEE Trans. Signal Process. Santiago Segarra, Mark Eisen, Alejandro Ribeiro
2014	J	`jnl`	Authorship Attribution through Function Word Adjacency Networks. CoRR Santiago Segarra, Mark Eisen, Alejandro Ribeiro
2013	Misc	`conf`	Authorship attribution using function words adjacency networks. ICASSP Santiago Segarra, Mark Eisen, Alejandro Ribeiro