| 2024 | GECCO | Generative Design through Quality-Diversity Data Synthesis and Language Models. | Adam Gaier, James Stoddart, Lorenzo Villaggi, Shyam Sudhakaran |
| 2022 | GECCO | COIL: Constrained optimization in learned latent space: learning representations for valid solutions. | Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran |
| 2022 | GECCO | A discretization-free metric for assessing quality diversity algorithms. | Paul Kent, Jrgen Branke, Adam Gaier, Jean-Baptiste Mouret |
| 2022 | PPSN | Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. | Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran |
| 2022 | PPSN | T-DominO - Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective. | Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley |
| 2020 | GECCO | Discovering representations for black-box optimization. | Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret |
| 2019 | GECCO | Are quality diversity algorithms better at generating stepping stones than objective-based search? | Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret |
| 2019 | GECCO | Prediction of neural network performance by phenotypic modeling. | Alexander Hagg, Martin Zaefferer, Jrg Stork, Adam Gaier |
| 2018 | GECCO | Data-efficient neuroevolution with kernel-based surrogate models. | Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret |
| 2017 | GECCO | Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination. | Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret |
| 2015 | GECCO | Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines. | Adam Gaier |
| 2014 | INISTA | Evolving look ahead controllers for energy optimal driving and path planning. | Adam Gaier, Alexander Asteroth |