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Publication search results
found 304 matches
- 2024
- Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen:
Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR abs/2402.07025 (2024) - 2023
- Chris Jones, Karoline Wiesner:
Improving mean-field network percolation models with neighbourhood information. J. Complex Networks 11(4) (2023) - Hengxi Zhang, Chengyue Lu, Huaze Tang, Xiaoli Wei, Le Liang, Ling Cheng, Wenbo Ding, Zhu Han:
Mean-Field-Aided Multiagent Reinforcement Learning for Resource Allocation in Vehicular Networks. IEEE Internet Things J. 10(3): 2667-2679 (2023) - Haiming Hui, Shuqi Wei, Wei Chen:
Fresh multiple access: A unified framework based on large models and mean-field approximations. J. Commun. Networks 25(5): 598-620 (2023) - Joseph Andria, Rosario Maggistro, Raffaele Pesenti:
Sustainable Management of Tourist Flow Networks: A Mean Field Model. J. Optim. Theory Appl. 196(2): 730-761 (2023) - Dezhi Wang, Wei Wang, Yuhan Kang, Zhu Han:
Distributed Data Offloading in Ultra-Dense LEO Satellite Networks: A Stackelberg Mean-Field Game Approach. IEEE J. Sel. Top. Signal Process. 17(1): 112-127 (2023) - Giovanni Conforti, Anna Kazeykina, Zhenjie Ren:
Game on Random Environment, Mean-Field Langevin System, and Neural Networks. Math. Oper. Res. 48(1): 78-99 (2023) - Benoit Duchet, Christian Bick, Áine Byrne:
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity. Neural Comput. 35(9): 1481-1528 (2023) - Maria Teresa Chiri, Xiaoqian Gong, Benedetto Piccoli:
Mean-field limit of a hybrid system for multi-lane car-truck traffic. Networks Heterog. Media 18(2): 723-752 (2023) - Huyên Pham, Xavier Warin:
Mean-field neural networks: Learning mappings on Wasserstein space. Neural Networks 168: 380-393 (2023) - Alina Dubovskaya, Susan C. Fennell, Kevin Burke, James P. Gleeson, Doireann O'Kiely:
Analysis of Mean-Field Approximation for Deffuant Opinion Dynamics on Networks. SIAM J. Appl. Math. 83(2): 436-459 (2023) - Luca Di Persio, Matteo Garbelli:
From Optimal Control to Mean Field Optimal Transport via Stochastic Neural Networks. Symmetry 15(9): 1724 (2023) - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
A Dominant Interferer Plus Mean Field-Based Approximation for SINR Meta Distribution in Wireless Networks. IEEE Trans. Commun. 71(6): 3663-3678 (2023) - Xiaojie Wang, Zhaolong Ning, Lei Guo, Song Guo, Xinbo Gao, Guoyin Wang:
Mean-Field Learning for Edge Computing in Mobile Blockchain Networks. IEEE Trans. Mob. Comput. 22(10): 5978-5994 (2023) - Runfeng Chen, Jin Chen, Haichao Wang, Xiaobing Tong, Yifan Xu, Nan Qi, Yuhua Xu:
Joint Channel Access and Power Control Optimization in Large-Scale UAV Networks: A Hierarchical Mean Field Game Approach. IEEE Trans. Veh. Technol. 72(2): 1982-1996 (2023) - Yuhan Kang, Haoxin Wang, BaekGyu Kim, Jiang (Linda) Xie, Xiao-Ping Zhang, Zhu Han:
Time Efficient Offloading Optimization in Automotive Multi-Access Edge Computing Networks Using Mean-Field Games. IEEE Trans. Veh. Technol. 72(5): 6460-6473 (2023) - Pei-Gen Ye, Yuan-Gen Wang, Weixuan Tang:
S-MFRL: Spiking Mean Field Reinforcement Learning for Dynamic Resource Allocation of D2D Networks. IEEE Trans. Veh. Technol. 72(1): 1032-1047 (2023) - Yu Wang, Qinyin Ni, Junjiang Yu, Enfu Jia, Xiaorong Zhu:
An intelligent access algorithm for large scale multihop wireless networks based on mean field game. Wirel. Networks 29(1): 331-344 (2023) - Amirreza Silani, Simon H. Tindemans:
Mean Field Game for Strategic Bidding of Energy Consumers in Congested Distribution Networks. CDC 2023: 3606-3611 - Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro:
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. COLT 2023: 1199-1227 - Yunwei Ren, Mo Zhou, Rong Ge:
Depth Separation with Multilayer Mean-Field Networks. ICLR 2023 - Blake Bordelon, Cengiz Pehlevan:
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. NeurIPS 2023 - Arvind Mahankali, Haochen Zhang, Kefan Dong, Margalit Glasgow, Tengyu Ma:
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. NeurIPS 2023 - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
A Dominant Interferer plus Mean Field-based Approximation for SINR Meta Distribution in Wireless Networks. CoRR abs/2302.03574 (2023) - Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro:
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. CoRR abs/2302.05882 (2023) - Yunwei Ren, Mo Zhou, Rong Ge:
Depth Separation with Multilayer Mean-Field Networks. CoRR abs/2304.01063 (2023) - Blake Bordelon, Cengiz Pehlevan:
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. CoRR abs/2304.03408 (2023) - Wenxuan Zou, Haiping Huang:
Introduction to dynamical mean-field theory of generic random neural networks. CoRR abs/2305.08459 (2023) - Arvind Mahankali, Jeff Z. HaoChen, Kefan Dong, Margalit Glasgow, Tengyu Ma:
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. CoRR abs/2306.16361 (2023) - Cristina Cipriani, Massimo Fornasier, Alessandro Scagliotti:
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks. CoRR abs/2307.02279 (2023)
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