| 2023 | GECCO | The Influence of Probabilistic Grammars on Evolution. | Jessica Mgane, Nuno Loureno, Penousal Machado, Dirk Schweim |
| 2023 | GECCO | Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude. | Johannes Reiter, Dirk Schweim, David Wittenberg |
| 2022 | CEC | Effects of the Training Set Size: A Comparison of Standard and Down-Sampled Lexicase Selection in Program Synthesis. | Dirk Schweim, Dominik Sobania, Franz Rothlauf |
| 2022 | EUROGP | Exploiting Knowledge from Code to Guide Program Search. | Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly |
| 2022 | GECCO | Program synthesis with evolutionary algorithms: Status quo: hot off the press track (GECCO 2022). | Dominik Sobania, Dirk Schweim, Franz Rothlauf |
| 2021 | EUROGP | On the Influence of Grammars on Crossover in Grammatical Evolution. | Dirk Schweim |
| 2021 | GECCO | Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution. | Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly, Franz Rothlauf |
| 2021 | GECCO | On sampling error in evolutionary algorithms. | Dirk Schweim, David Wittenberg, Franz Rothlauf |
| 2020 | GECCO | DAE-GP: denoising autoencoder LSTM networks as probabilistic models in estimation of distribution genetic programming. | David Wittenberg, Franz Rothlauf, Dirk Schweim |
| 2018 | GECCO | An analysis of the bias of variation operators of estimation of distribution programming. | Dirk Schweim, Franz Rothlauf |