Here is an overview: The Special Issue on Learning and Intelligent Optimization of the ACM Transactions on Evolutionary Learning and…
Papers „Physics-Informed Neural Networks for State Estimation Problems“ and „Tuning for Explainability“ accepted at the 35th CI-Workshop in Berlin 2025
Two papers from THK-AI members were accepted for presentation at the 35th Workshop on Computational Intelligence in Berlin, November 2025, and will be published as open access in the KIT Verlag proceedings. The first paper, by Aleksandr Subbotin and Thomas Bartz-Beielstein, explores combining machine learning with classical filtering methods. The second paper, a collaboration with Everllence SE, introduces new measures to enhance explainability in artificial intelligence.
Wartungsarbeiten Rechencluster Gummersbach 19.08.2025
Am 19.08.2025 müssen in Gummersbach am KI-Rechenclustern Wartungsarbeiten durchgeführt werden. Daher steht an diesem Tag zwischen 08:00 Uhr und 16:00…
CfP: FOGA XVIII, Aug (26) 27 – 29, 2025, Leiden, The Netherlands
18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA XVIII, Aug (26) 27 – 29, 2025, Leiden, The Netherlands FOGA…
Wartungsarbeiten an KI-Rechencluster Gummersbach am 22.07.2025 beendet
Die Wartungsarbeiten am KI Rechen Cluster sind beendet.Bei Fragen oder Problemen stehen wir Ihnen gerne zur Verfügung. Kontakt zum Team…
ACM TELO Editorial Board Meeting @ GECCO 2025
The ACM Transactions on Evolutionary Learning and Optimization publishes original papers in all areas of evolutionary computation and related areas such as…
Great Talks in the ACM-GECCO „Evolutionary Computation in Practice“ Track in Malaga
Some impressions from the inspiring talks. Many thanks to:
Automated Prediction of Compressor Performance Maps: Surrogate-Based Optimization with RNNs for Enhanced Extrapolation and Interpolation
Richard Schulz presented his talk today at the ACM GECCO 2025 in Malaga. Here are some impressions from his talk.
Slides and Jupyter-Notebook of ACM GECCO Talk About „SMBO with Desirability for Multi-Objective Optimization“ Available Online
Prof. Bartz-Beielstein’s talk „Surrogate Model-Based Multi-Objective Optimization Using DesirabilityFunctions“ was presented at ACM Genetic and Evolutionary Computation Conference in Malaga.…
Photorealistic Flood Prediction with GANs – Natasha Randall Presents at CAIML #37
PhD student Natasha Randall (https://www.linkedin.com/in/natasha-r-49568a150/) presented her work on generating photorealistic flood predictions with Generative Adversarial Networks (GANs) at the…