David Lynch

34 papers A 3B 7Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2025 A conf
Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation.
ECAI
Muzhaffar Hazman, Minh-Khoi Pham, Shweta Soundararajan, Goncalo Mordido, Leonardo Lucio Custode, David Lynch, Giorgio Cruciata, Yucheng Shi, Hongmeng Song, Wang Chao, Pan Yue, Aleksandar Milenovic, Alexandros Agapitos
2025 J jnl
Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation.
CoRR
Muzhaffar Hazman, Minh-Khoi Pham, Shweta Soundararajan, Goncalo Mordido, Leonardo Lucio Custode, David Lynch, Giorgio Cruciata, Yucheng Shi, Hongmeng Song, Wang Chao, Pan Yue, Aleksandar Milenovic, Alexandros Agapitos
2025 — conf
UCB-Driven Utility Function Search for Multi-objective Reinforcement Learning.
ECML/PKDD (6)
Yucheng Shi, David Lynch, Alexandros Agapitos
2024 J jnl
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation.
CoRR
Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic
2024 — conf
Sadram Arithmetic in C++.
MEMSYS
Robert Trout, David Lynch
2024 J jnl
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning.
CoRR
Yucheng Shi, Alexandros Agapitos, David Lynch, Giorgio Cruciata, Cengis Hasan, Hao Wang, Yayu Yao, Aleksandar Milenovic
2023 — conf
Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation.
ECML/PKDD (6)
Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic
2023 — conf
Sadram: A new Memory Addressing Paradigm.
MEMSYS
Robert Trout, David Lynch
2021 J jnl
Offline Contextual Bandits for Wireless Network Optimization.
CoRR
Miguel Suau, Alexandros Agapitos, David Lynch, Derek Farrell, Mingqi Zhou, Aleksandar Milenovic
2020 B conf
Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks.
CEC
Takfarinas Saber, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
2020 B conf
Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks.
IJCNN
David Lynch, Lester T. W. Ho, Michael MacDonald, Michael O'Neill
2020 — conf
Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders.
PPSN (2)
David Lynch, James McDermott, Michael O'Neill
2020 J jnl
Using blended learning to support whole-of-school improvement: The need for contextualisation.
Educ. Inf. Technol.
Tony Yeigh, David Lynch, David Turner, Paul Fradale, Royce L. Willis, Ken Sell, Ed Lawless
2019 J jnl
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks.
Genet. Program. Evolvable Mach.
Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
2019 J jnl
Automated Self-Optimization in Heterogeneous Wireless Communications Networks.
IEEE/ACM Trans. Netw.
David Lynch, Michael Fenton, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
2019 A conf
Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks.
GECCO
David Lynch, Takfarinas Saber, Stepán Kucera, Holger Claussen, Michael O'Neill
2019 J jnl
Influences on purposeful implementation of ICT into the classroom: An exploratory study of K-12 teachers.
Educ. Inf. Technol.
Royce L. Willis, David Lynch, Paul Fradale, Tony Yeigh
2019 J jnl
Towards Automation and Augmentation of the Design of Schedulers for Cellular Communications Networks.
Evol. Comput.
Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
2018 — conf
A Hierarchical Approach to Grammar-Guided Genetic Programming: The Case of Scheduling in Heterogeneous Networks.
TPNC
Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
2018 — conf
Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis.
RAMBO+BIA+TIA@MICCAI
Charles R. Hatt, Craig J. Galbán, Wassim Labaki, Ella A. Kazerooni, David Lynch, Meilan Han
2018 B conf
Managing Quality of Service Through Intelligent Scheduling in Heterogeneous Wireless Communications Networks.
CEC
David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
2018 B conf
Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks.
EuroGP
Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
2018 — conf
Towards automation & augmentation of the design of schedulers for cellular communications networks.
GECCO (Companion)
Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
2018 J jnl
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction [Invited].
JOCN
Gagan L. Choudhury, David Lynch, Gaurav Thakur, Simon Tse
2018 J jnl
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction.
CoRR
Gagan L. Choudhury, David Lynch, Gaurav Thakur, Simon Tse
2017 — conf
Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm.
EvoApplications (1)
David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill
2017 B conf
Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment.
IJCNN
David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
2017 J jnl
Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming.
IEEE Trans. Cybern.
Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
2017 — conf
Multilayer optimization of heterogeneous networks using grammatical genetic programming.
GECCO (Companion)
Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
2016 — conf
Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks.
OR
David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill
2016 A conf
Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks.
GECCO
David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill
2016 — conf
Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming.
EvoApplications (1)
Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
2016 B conf
Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming.
EuroGP
David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill
2015 B conf
Load balancing in heterogeneous networks using an evolutionary algorithm.
CEC
Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill