29.08.2023
MCML at FOGA 2023
One Accepted Paper
17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Potsdam, Germany, Aug 30-Sep 01, 2023
We are happy to announce that MCML researchers have contributed a total of 1 paper to FOGA 2023. Congrats to our researchers!
Main Track (1 paper)
R. P. Prager • K. Dietrich • L. Schneider • L. Schäpermeier • B. Bischl • P. Kerschke • H. Trautmann • O. Mersmann
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.
FOGA 2023 - 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Potsdam, Germany, Aug 30-Sep 01, 2023. DOI
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.
FOGA 2023 - 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Potsdam, Germany, Aug 30-Sep 01, 2023. DOI
Related
10.06.2026
How Should Researchers Report Their Use of LLMs?
Is AI making science impossible to replicate? Stefan Feuerriegel and the MCML team introduce the GUIDE-LLM framework in Nature.
02.06.2026
Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness
MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.
02.06.2026
MCML at CVPR 2026
MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).
