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David Lynch
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Automated self-optimization in heterogeneous wireless communications networks
D Lynch, M Fenton, D Fagan, S Kucera, H Claussen, M O’Neill
IEEE/ACM Transactions on Networking 27 (1), 419-432, 2019
212019
Multi-level grammar genetic programming for scheduling in heterogeneous networks
T Saber, D Fagan, D Lynch, S Kucera, H Claussen, M O’Neill
Genetic Programming: 21st European Conference, EuroGP 2018, Parma, Italy …, 2018
202018
Evolutionary learning of link allocation algorithms for 5g heterogeneous wireless communications networks
D Lynch, T Saber, S Kucera, H Claussen, M O'Neill
Proceedings of the Genetic and Evolutionary Computation Conference, 1258-1265, 2019
172019
Multilayer optimization of heterogeneous networks using grammatical genetic programming
M Fenton, D Lynch, S Kucera, H Claussen, M O'Neill
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
172017
Scheduling in heterogeneous networks using grammar-based genetic programming
D Lynch, M Fenton, S Kucera, H Claussen, M O’Neill
Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal …, 2016
142016
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks
T Saber, D Fagan, D Lynch, S Kucera, H Claussen, M O’Neill
Genetic Programming and Evolvable Machines 20, 245-283, 2019
132019
Deep learning through evolution: a hybrid approach to scheduling in a dynamic environment
D Fagan, M Fenton, D Lynch, S Kucera, H Claussen, M O'Neill
2017 International Joint Conference on Neural Networks (IJCNN), 775-782, 2017
132017
Load balancing in heterogeneous networks using an evolutionary algorithm
M Fenton, D Lynch, S Kucera, H Claussen, M O'Neill
2015 IEEE Congress on Evolutionary Computation (CEC), 70-76, 2015
122015
Hierarchical grammar-guided genetic programming techniques for scheduling in heterogeneous networks
T Saber, D Lynch, D Fagan, S Kucera, H Claussen, M O’Neill
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
72020
Methods and systems for network self-optimization using deep learning
S Kucera, H Claussen, D Lynch, D Fagan, M Fenton, M O'neill
US Patent 11,477,666, 2022
62022
Program synthesis in a continuous space using grammars and variational autoencoders
D Lynch, J McDermott, M O’Neill
Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020
52020
Evolutionary learning of scheduling heuristics for heterogeneous wireless communications networks
D Lynch, M Fenton, S Kucera, H Claussen, M O'Neill
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 949-956, 2016
52016
Evolving coverage optimisation functions for heterogeneous networks using grammatical genetic programming
M Fenton, D Lynch, S Kucera, H Claussen, M O’Neill
Applications of Evolutionary Computation: 19th European Conference …, 2016
52016
Offline contextual bandits for wireless network optimization
M Suau, A Agapitos, D Lynch, D Farrell, M Zhou, A Milenovic
arXiv preprint arXiv:2111.08587, 2021
42021
Towards automation & augmentation of the design of schedulers for cellular communications networks
M Fenton, D Lynch, D Fagan, S Kucera, H Claussen, M O'Neill
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
42018
Ensemble techniques for scheduling in heterogeneous wireless communications networks
D Lynch, M Fenton, S Kucera, H Claussen, M O’Neill
Operations Research Proceedings 2016: Selected Papers of the Annual …, 2018
22018
Managing Quality of Service through Intelligent Scheduling in Heterogeneous Wireless Communications Networks
D Lynch, D Fagan, S Kucera, H Claussen, M Oneill
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
12018
Configuring dynamic heterogeneous wireless communications networks using a customised genetic algorithm
D Lynch, M Fenton, S Kucera, H Claussen, M O’Neill
Applications of Evolutionary Computation: 20th European Conference …, 2017
12017
A spatial and temporal analysis of Bovine Spongiform Encephalopathy in Irish cattle herds, 1996-2000
H Sheridan, D Lynch, G McGrath, P White, SW Martin
University College Dublin. Centre for Veterinary Epidemiology and Risk Analysis, 2002
12002
Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation
C Hasan, A Agapitos, D Lynch, A Castagna, G Cruciata, H Wang, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
2023
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