Publications

Publications about or using GEGELATI

2026

• Multi-Action Tangled Program Graphs for Multi-Task Reinforcement Learning with Continuous Control
  Q Vacher, N Beuve, M Dardaillon, K Desnos
  European Conference on Genetic Programming (EuroGP)

2025

• MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning
  Q Vacher, S Kelly, A Naqvi, N Beuve, T Djavaherpour, M Dardaillon, K Desnos
  Genetic and Evolutionary Computation Conference (GECCO)
• Lightweight FPGA Classifiers using Tangled Program Graphs
  J Warner, J McAllister, K Desnos
  IEEE Workshop on Signal Processing Systems (SiPS)

2024

• Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning
  Q. Vacher, N. Beuve, P. Allaire, T. Marty, M. Dardaillon, K. Desnos
  International Joint Conference on Computational Intelligence (ECTA)
• Tangled Program Graphs as an Alternative to DRL-Based Control Algorithms for UAVs
  H Szolc, K Desnos, T Kryjak
  Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)
• Design Automation and Multi-Objective Optimizations for High-Performance Embedded Software
  K. Desnos
  HDR Manuscript, Université de Rennes, France
• Sensitive devices Identification through learning of radio-frequency fingerprint
  A. Chillet
  PhD Manuscript, Université de Rennes, France

2023

• Tangled Program Graph for Radio-Frequency Fingerprint Identification
  A. Chillet, B. Boyer, R. Gerzaguet, K. Desnos, M. Gautier
  IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

2022

• Imbalanced Classification with TPG Genetic Programming: Impact of Problem Imbalance and Selection Mechanisms
  N. Sourbier, J. Bonnot, K. Desnos, F. Majorczyk, O. Gesny, T.Guyet, M. Pelcat.
  GECCO 2022 - Genetic and Evolutionary Computation Conference.
• Ultra-fast machine learning inference through C code generation for tangled program graphs
  K. Desnos, T. Bourgoin, M. Dardaillon, N. Sourbier, O. Gesny, M. Pelcat
  IEEE Workshop on Signal Processing Systems (SiPS)
• SECURE-GEGELATI Always-On Intrusion Detection through GEGELATI Lightweight Tangled Program Graphs
  N. Sourbier, K. Desnos, T. Guyet, F. Majorczyk, O. Gesny, M. Pelcat
  Journal of Signal Processing Systems, Springer 2022, vol. 94, no 7, p. 753-770.
• Détection d’intrusion réseau par apprentissage machine, un problème temps réel, déséquilibré et en constante évolution.
  N. Sourbier.
  Ph.D. Manuscript, INSA Rennes, France

2021

• GEGELATI: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs.
  K. Desnos, N. Sourbier, P.-Y. Raumer, O. Gesny and M. Pelcat.
  Workshop on Design and Architectures for Signal and Image Processing (DASIP), ACM, 2021

Cite GEGELATI

If you use, criticize, or praise GEGELATI in your research, please cite the following:

K. Desnos, N. Sourbier, P.-Y. Raumer, O. Gesny and M. Pelcat. GEGELATI: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs. In Workshop on Design and Architectures for Signal and Image Processing (DASIP), ACM, 2021

Or using Bibtex:

@inproceedings{Desnos_GEGELATI_2021,
  title = {GEGELATI: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs},
  author = {Karol Desnos and Nicolas Sourbier and Pierre-Yves Raumer and Olivier Gesny and Maxime Pelcat },
  year = {2021},
  date = {2021-01-18},
  booktitle = {Workshop on Design and Architectures for Signal and Image Processing (DASIP)},
  publisher = {ACM},
  address = {Budapest, Hungary},
  series = {International Conference Proceedings Series (ICPS)},
}