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Mark Eisen
Mark Eisen
Johns Hopkins Applied Physics Laboratory
Overená e-mailová adresa na: jhuapl.edu - Domovská stránka
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Citované v
Citované v
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Optimal wireless resource allocation with random edge graph neural networks
M Eisen, A Ribeiro
ieee transactions on signal processing 68, 2977-2991, 2020
2932020
Learning optimal resource allocations in wireless systems
M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro
IEEE Transactions on Signal Processing 67 (10), 2775-2790, 2019
2682019
Decentralized quasi-Newton methods
M Eisen, A Mokhtari, A Ribeiro
IEEE Transactions on Signal Processing 65 (10), 2613-2628, 2017
1492017
Authorship attribution through function word adjacency networks
S Segarra, M Eisen, A Ribeiro
IEEE Transactions on Signal Processing 63 (20), 5464-5478, 2015
1042015
IQN: An incremental quasi-Newton method with local superlinear convergence rate
A Mokhtari, M Eisen, A Ribeiro
SIAM Journal on Optimization 28 (2), 1670-1698, 2018
892018
Control aware radio resource allocation in low latency wireless control systems
M Eisen, MM Rashid, K Gatsis, D Cavalcanti, N Himayat, A Ribeiro
IEEE Internet of Things Journal 6 (5), 7878-7890, 2019
762019
Learning decentralized wireless resource allocations with graph neural networks
Z Wang, M Eisen, A Ribeiro
IEEE Transactions on Signal Processing 70, 1850-1863, 2022
722022
Attributing the authorship of the Henry VI plays by word adjacency
S Segarra, M Eisen, G Egan, A Ribeiro
Shakespeare Quarterly 67 (2), 232-256, 2016
622016
A primal-dual quasi-Newton method for exact consensus optimization
M Eisen, A Mokhtari, A Ribeiro
IEEE Transactions on Signal Processing 67 (23), 5983-5997, 2019
462019
Stylometric analysis of Early Modern period English plays
M Eisen, A Ribeiro, S Segarra, G Egan
Digital Scholarship in the Humanities 33 (3), 500-528, 2018
382018
Authorship attribution using function words adjacency networks
S Segarra, M Eisen, A Ribeiro
2013 IEEE international conference on acoustics, speech and signal …, 2013
362013
Learning in wireless control systems over nonstationary channels
M Eisen, K Gatsis, GJ Pappas, A Ribeiro
IEEE Transactions on Signal Processing 67 (5), 1123-1137, 2018
342018
Wireless power control via counterfactual optimization of graph neural networks
N Naderializadeh, M Eisen, A Ribeiro
2020 IEEE 21st international workshop on signal processing advances in …, 2020
332020
Learning resilient radio resource management policies with graph neural networks
N NaderiAlizadeh, M Eisen, A Ribeiro
IEEE Transactions on Signal Processing 71, 995-1009, 2023
272023
Large scale empirical risk minimization via truncated adaptive newton method
M Eisen, A Mokhtari, A Ribeiro
Proceedings of the Twenty-First International Conference on Artificial …, 2018
262018
Unsupervised learning for asynchronous resource allocation in ad-hoc wireless networks
Z Wang, M Eisen, A Ribeiro
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
232021
Large scale wireless power allocation with graph neural networks
M Eisen, A Ribeiro
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
232019
A decentralized quasi-Newton method for dual formulations of consensus optimization
M Eisen, A Mokhtari, A Ribeiro
2016 IEEE 55th Conference on Decision and Control (CDC), 1951-1958, 2016
222016
Apparatus, system, method and computer-implemented storage media to implement radio resource management policies using machine learning
R Balakrishnan, N Himayat, A Anand, MR Akdeniz, S Dhakal, MR Eisen, ...
US Patent App. 17/712,050, 2022
192022
Model-free learning of optimal ergodic policies in wireless systems
DS Kalogerias, M Eisen, GJ Pappas, A Ribeiro
IEEE Transactions on Signal Processing 68, 6272-6286, 2020
192020
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Články 1–20