| 2024 | GECCO | Analysis of Pruned Deep Models Trained with Neuroevolution. | Federico Da Rold, Leo Cazenille, Nathanal Aubert-Kato |
| 2021 | GECCO | Ensemble feature extraction for multi-container quality-diversity algorithms. | Leo Cazenille |
| 2021 | GECCO | Automatic exploration of the property space of reservoirs. | Mika Ito, Leo Cazenille, Nathanal Aubert-Kato |
| 2020 | GECCO | Exploring the BipedalWalker benchmark with MAP-Elites and curiosity-driven A3C. | Vikas Gupta, Nathanal Aubert-Kato, Leo Cazenille |
| 2019 | GECCO | Comparing reliability of grid-based quality-diversity algorithms using artificial landscapes. | Leo Cazenille |
| 2017 | GECCO | Evolutionary optimization of self-assembly in a swarm of bio-micro-robots. | Nathanal Aubert-Kato, Charles Fosseprez, Guillaume Gines, Ibuki Kawamata, Quang Huy Dinh, Leo Cazenille, Andre Estevez-Torres, Masami Hagiya, Yannick Rondelez, Nicolas Bredche |
| 2017 | ICRA | Multi-robot control and tracking framework for bio-hybrid systems with closed-loop interaction. | Frank Bonnet, Leo Cazenille, Alexey Gribovskiy, Jos Halloy, Francesco Mondada |
| 2012 | GECCO | Impact of neuron models and network structure on evolving modular robot neural network controllers. | Leo Cazenille, Nicolas Bredche, Heiko Hamann, Jrgen Stradner |