{"id":20035,"date":"2026-02-14T13:58:36","date_gmt":"2026-02-14T12:58:36","guid":{"rendered":"https:\/\/wi.bwl.uni-mainz.de\/?page_id=20035"},"modified":"2026-04-29T14:14:13","modified_gmt":"2026-04-29T12:14:13","slug":"martin-briesch","status":"publish","type":"page","link":"https:\/\/wi.bwl.uni-mainz.de\/en\/martin-briesch\/","title":{"rendered":"Dr. Martin Briesch"},"content":{"rendered":"<\/jgu-base-heading>\n\n
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Martin Briesch (Dr. rer. pol.) is currently a postdoctoral researcher at the chair and conducts research on topics related to machine and evolutionary learning. He successfully completed his doctorate in 2026 with the title “Selected Topics on Machine and Evolutionary Learning”<\/strong> and has been employed as an academic staff member at the chair of Prof. Dr. Franz Rothlauf since 2020. During his doctorate, he also spent 3 months as a visiting scholar at Imperial College London with Prof. Dr. Antoine Cully. Previously, he studied Economics (B.Sc.) from 2014 to 2017 and Management (M.Sc.) from 2017 to 2020 at Johannes Gutenberg University Mainz. <\/p>\n\n\n\n

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My research units focus on the application and methodological development of approaches from Machine and Evolutionary Learning<\/strong>. In particular, I focus on Large Language Models (LLMs) and Genetic Programming (GP)<\/strong>. <\/p>\n\n\n<\/jgu-base-tabsitem>\n\n\n \n\n \n<\/jgu-base-buttonitem>\n\n<\/jgu-base-button>\n\n\n

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2026<\/h3>\n\t
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Geiger, A., Briesch, M., Sobania, D., and Rothlauf, F. (2026). ROIDS: Robust Outlier-Aware Informed Down-Sampling<\/i>.<\/div>\n
Briesch, M. (2026). On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis. In L. Manzoni, S. Cussat-Blanc, and Q. Chen (eds.), Genetic Programming<\/i> (pp. 3-18). Cham:Springer Nature Switzerland.<\/div>\n<\/div>\t\n<\/div>\n\n

2025<\/h3>\n\t
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Sobania, D., Petke, J., Briesch, M., Rothlauf, F. (2025). A Comparison of Large Language Models and Genetic Programming for Program Synthesis. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION<\/i>, 29<\/i>(4), 1434-1448. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Geiger, A., Briesch, M., Sobania, D., Rothlauf, F. (2025). Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection. In B. Xue, L. Manzoni, and I. Bakurov (eds.), EuroGP<\/i> (Vols. 15609, pp. 207-223). Springer. Author\/Publisher URL<\/a><\/div>\n
Schaeffer, M., Sobania, D., Briesch, M., et al. (2025). Which kind of experts in which loops? Redefining the relationship between translators, data, and models. 11th Congress of the European Society for Translation Studies (EST), Leeds, United Kingdom, 30 June-3 July 2025<\/i>.<\/div>\n
Sobania, D., Briesch, M., Rothlauf, F. (2025). ImageBreeder: Guiding Diffusion Models with Evolutionary Computation. PROCEEDINGS OF THE 2025 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2025<\/i>, 463-471. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Zoeten, M. C. de, Hauck, M., Briesch, M., et al. (2025). Let Me Entertain You: On the Bias of Editorial and Algorithmic Recommendations in Public Service Media. In I. Lukovic, S. Bjeladinovic, B. Delibasic, et al. (eds.), ISD<\/i>. University of Gda\u0144sk, University of Belgrade, Association for Information Systems. Author\/Publisher URL<\/a><\/div>\n<\/div>\t\n<\/div>\n\n

2024<\/h3>\n\t
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Boldi, R., Briesch, M., Sobania, D., et al. (2024). Informed Down-Sampled Lexicase Selection: Identifying Productive Training Cases for Efficient Problem Solving. EVOLUTIONARY COMPUTATION<\/i>, 32<\/i>(4), 307-337. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Boldi, R., Bao, A., Briesch, M., et al. (2024). A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. Proceedings of the Genetic and Evolutionary Computation Conference Companion<\/i>, 487-490. DOI<\/a><\/div>\n
Boldi, R., Bao, A., Briesch, M., et al. (2024). Untangling the effects of down-sampling and selection in genetic programming. Artificial Life Conference Proceedings 36<\/i>, 2024<\/i>, 88-88.<\/div>\n
Briesch, M., Boldi, R., Sobania, D., et al. (2024). Improving Lexicase Selection with Informed Down -Sampling. PROCEEDINGS OF THE 2024 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2024 COMPANION<\/i>, 25-26. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Sobania, D., Briesch, M., Rothlauf, F. (2024). ComfyGI: Automatic Improvement of Image Generation Workflows. CoRR<\/i>, abs\/2411.14193<\/i>.<\/div>\n<\/div>\t\n<\/div>\n\n

2023<\/h3>\n\t
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Briesch, M., Sobania, D., Rothlauf, F. (2023). Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop<\/i>. Author\/Publisher URL<\/a><\/div>\n
Kuhl, E., Zang, C., Esper, J., et al. (2023). Using machine learning on tree-ring data to determine the geographical provenance of historical construction timbers. ECOSPHERE<\/i>, 14<\/i>(3). DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Boldi, R., Bao, A., Briesch, M., et al. (2023). The Problem Solving Benefits of Down-sampling Vary by Selection Scheme. PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION<\/i>, 527-530. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Briesch, M., Sobania, D., Rothlauf, F. (2023). On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis. PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION<\/i>, 535-538. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Huschens, M., Briesch, M., Sobania, D., Rothlauf, F. (2023). Do you trust ChatGPT?\u2013perceived credibility of human and AI-generated content. arXiv preprint arXiv:2309.02524<\/i>.<\/div>\n
Sobania, D., Briesch, M., Hanna, C., Petke, J. (2023). An Analysis of the Automatic Bug Fixing Performance of ChatGPT. 2023 IEEE\/ACM INTERNATIONAL WORKSHOP ON AUTOMATED PROGRAM REPAIR, APR<\/i>, 23-30. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Sobania, D., Briesch, M., R\u00f6chner, P., Rothlauf, F. (2023). MTGP: Combining metamorphic testing and genetic programming. European Conference on Genetic Programming (Part of EvoStar)<\/i>, 324-338.<\/div>\n<\/div>\t\n<\/div>\n\n

2022<\/h3>\n\t
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Briesch, M., Sobania, D., and Rothlauf, F. (2022). The Randomness of Input Data Spaces is an A Priori Predictor for Generalization<\/i> (Vols. 13404, pp. 17-30). DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Sobania, D., Briesch, M., and Rothlauf, F. (2022). Choose Your Programming Copilot A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming. PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO\u201922)<\/i>, 1019-1027. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n
Sobania, D., Briesch, M., Wittenberg, D., and Rothlauf, F. (2022). Analyzing Optimized Constants in Genetic Programming on a Real-World Regression Problem. PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2022<\/i>, 606-607. DOI<\/a> Author\/Publisher URL<\/a><\/div>\n<\/div>\t\n<\/div>\n\n\n<\/jgu-base-tabsitem>\n\n\n \n\n

I am currently supervising the following subjects:<\/p>\n\n\n\n