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Mark Eisen
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2020 – today
- 2024
- [j19]Gabriel Egan, Mark Eisen, Alejandro Ribeiro, Santiago Segarra:
A reply to Pervez Rizvi's letter. Digit. Scholarsh. Humanit. 39(1): 3-4 (2024) - [j18]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): 2898-2914 (2024) - 2023
- [j17]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): 1494-1507 (2023) - [j16]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Learning Resilient Radio Resource Management Policies With Graph Neural Networks. IEEE Trans. Signal Process. 71: 995-1009 (2023) - [c31]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: 1-6 - [c30]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: 1-8 - 2022
- [j15]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): 26-31 (2022) - [j14]Paul Brown, Mark Eisen, Santiago Segarra, Alejandro Ribeiro, Gabriel Egan:
How the Word Adjacency Network (WAN) works. Digit. Scholarsh. Humanit. 37(2): 321-335 (2022) - [j13]Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Model-Free design of control systems over wireless fading channels. Signal Process. 197: 108540 (2022) - [j12]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications. IEEE Trans. Commun. 70(2): 920-934 (2022) - [j11]Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Learning Decentralized Wireless Resource Allocations With Graph Neural Networks. IEEE Trans. Signal Process. 70: 1850-1863 (2022) - [j10]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. IEEE Trans. Signal Process. 70: 5898-5912 (2022) - [c29]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Adaptive Wireless Power Allocation with Graph Neural Networks. ICASSP 2022: 5213-5217 - [c28]Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro:
Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP 2022: 8912-8916 - [c27]Mark Eisen, Santosh Shukla, Dave Cavalcanti, Amit S. Baxi:
Communication-Control Co-design in Wireless Edge Industrial Systems. WFCS 2022: 1-8 - [i20]Mark Eisen, Santosh Shukla, Dave Cavalcanti, Amit S. Baxi:
Communication-Control Co-design in Wireless Edge Industrial Systems. CoRR abs/2202.03976 (2022) - [i19]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Learning Resilient Radio Resource Management Policies with Graph Neural Networks. CoRR abs/2203.11012 (2022) - [i18]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. CoRR abs/2207.02242 (2022) - [i17]Yigit Berkay Uslu, Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. CoRR abs/2210.16412 (2022) - 2021
- [c26]Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. ICASSP 2021: 8143-8147 - 2020
- [j9]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: 6272-6286 (2020) - [c25]Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Decentralized Wireless Resource Allocation with Graph Neural Networks. ACSSC 2020: 299-303 - [c24]Mark Eisen, K. G. Arjun, Amit S. Baxi, Dave Cavalcanti:
Network Performance Adaptation in Wireless Control with Reinforcement Learning. ACSSC 2020: 413-417 - [c23]Vinícius Lima, Mark Eisen, Alejandro Ribeiro:
Learning Constrained Resource Allocation Policies in Wireless Control Systems. CDC 2020: 2615-2621 - [c22]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. EUSIPCO 2020: 1727-1731 - [c21]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. GLOBECOM 2020: 1-6 - [c20]Mark Eisen, Alejandro Ribeiro:
Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. ICASSP 2020: 5040-5044 - [c19]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: 5045-5049 - [c18]Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro:
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. ICC Workshops 2020: 1-7 - [c17]Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti:
Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. ICC 2020: 1-6 - [c16]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. SPAWC 2020: 1-5 - [c15]Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Resource Allocation in Wireless Control Systems via Deep Policy Gradient. SPAWC 2020: 1-5 - [i16]Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro:
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. CoRR abs/2002.07631 (2020) - [i15]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. CoRR abs/2006.15005 (2020) - [i14]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks. CoRR abs/2007.13709 (2020) - [i13]Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Model-Free Design of Control Systems over Wireless Fading Channels. CoRR abs/2009.01751 (2020) - [i12]Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks. CoRR abs/2011.02644 (2020)
2010 – 2019
- 2019
- [j8]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): 7878-7890 (2019) - [j7]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Learning in Wireless Control Systems Over Nonstationary Channels. IEEE Trans. Signal Process. 67(5): 1123-1137 (2019) - [j6]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): 2775-2790 (2019) - [j5]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization. IEEE Trans. Signal Process. 67(23): 5983-5997 (2019) - [c14]Zhan Gao, Mark Eisen, Alejandro Ribeiro:
Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. GLOBECOM 2019: 1-6 - [c13]Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro:
Control Aware Communication Design for Time Sensitive Wireless Systems. ICASSP 2019: 4584-4588 - [c12]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: 4729-4733 - [c11]Mark Eisen, Alejandro Ribeiro:
Large Scale Wireless Power Allocation with Graph Neural Networks. SPAWC 2019: 1-5 - [i11]Mark Eisen, Mohammad M. Rashid, Dave Cavalcanti, Alejandro Ribeiro:
Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. CoRR abs/1906.06225 (2019) - [i10]Vinícius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro:
Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient. CoRR abs/1910.11900 (2019) - [i9]Mark Eisen, Mohammad M. Rashid, Alejandro Ribeiro, Dave Cavalcanti:
Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. CoRR abs/1910.13587 (2019) - [i8]Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. CoRR abs/1911.03988 (2019) - 2018
- [j4]Mark Eisen, Alejandro Ribeiro, Santiago Segarra, Gabriel Egan:
Stylometric analysis of Early Modern period English plays. Digit. Scholarsh. Humanit. 33(3): 500-528 (2018) - [j3]Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro:
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. SIAM J. Optim. 28(2): 1670-1698 (2018) - [c10]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Online Deep Learning in Wireless Communication Systems. ACSSC 2018: 1289-1293 - [c9]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. AISTATS 2018: 1447-1455 - [c8]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Learning in Non-Stationary Wireless Control Systems via Newton's Method. ACC 2018: 1410-1417 - [c7]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. ICASSP 2018: 3559-3563 - [c6]Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro:
Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels. SPAWC 2018: 1-5 - [i7]Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Learning Optimal Resource Allocations in Wireless Systems. CoRR abs/1807.08088 (2018) - [i6]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 abs/1811.00409 (2018) - 2017
- [j2]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
Decentralized Quasi-Newton Methods. IEEE Trans. Signal Process. 65(10): 2613-2628 (2017) - [c5]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
A primal-dual Quasi-Newton method for consensus optimization. ACSSC 2017: 298-302 - [c4]Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro:
An incremental quasi-Newton method with a local superlinear convergence rate. ICASSP 2017: 4039-4043 - [i5]Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro:
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. CoRR abs/1702.00709 (2017) - [i4]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. CoRR abs/1705.07957 (2017) - 2016
- [c3]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
A decentralized quasi-Newton method for dual formulations of consensus optimization. CDC 2016: 1951-1958 - [c2]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
An asynchronous Quasi-Newton method for consensus optimization. GlobalSIP 2016: 570-574 - [i3]Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro:
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization. CoRR abs/1603.07195 (2016) - [i2]Mark Eisen, Santiago Segarra, Gabriel Egan, Alejandro Ribeiro:
Stylometric Analysis of Early Modern Period English Plays. CoRR abs/1610.05670 (2016) - 2015
- [j1]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship Attribution Through Function Word Adjacency Networks. IEEE Trans. Signal Process. 63(20): 5464-5478 (2015) - 2014
- [i1]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship Attribution through Function Word Adjacency Networks. CoRR abs/1406.4469 (2014) - 2013
- [c1]Santiago Segarra, Mark Eisen, Alejandro Ribeiro:
Authorship attribution using function words adjacency networks. ICASSP 2013: 5563-5567
Coauthor Index
aka: Dave A. T. Cavalcanti
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last updated on 2024-05-09 23:54 CEST by the dblp team
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