| 2023 | GECCO | On the Suitability of Representations for Quality Diversity Optimization of Shapes. | Ludovico Scarton, Alexander Hagg |
| 2021 | GECCO | Expressivity of parameterized and data-driven representations in quality diversity search. | Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bck |
| 2020 | PPSN | Designing Air Flow with Surrogate-Assisted Phenotypic Niching. | Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bck |
| 2019 | GECCO | Modeling user selection in quality diversity. | Alexander Hagg, Alexander Asteroth, Thomas Bck |
| 2019 | GECCO | Prediction of neural network performance by phenotypic modeling. | Alexander Hagg, Martin Zaefferer, Jrg Stork, Adam Gaier |
| 2018 | PPSN | Prototype Discovery Using Quality-Diversity. | Alexander Hagg, Alexander Asteroth, Thomas Bck |
| 2017 | GECCO | Hierarchical surrogate modeling for illumination algorithms. | Alexander Hagg |
| 2017 | GECCO | Evolving parsimonious networks by mixing activation functions. | Alexander Hagg, Maximilian Mensing, Alexander Asteroth |
| 2016 | RoboCup | On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities. | Alexander Hagg, Frederik Hegger, Paul-Gerhard Plger |
| 2015 | INISTA | How to successfully apply genetic algorithms in practice: Representation and parametrization. | Alexander Asteroth, Alexander Hagg |
| 2015 | INISTA | Successive evolution of charging station placement. | Helge Spieker, Alexander Hagg, Alexander Asteroth, Stefanie Meilinger, Volker Jacobs, Alexander Oslislo |