A collaborative research paper by scientists from THK-AI Research Cluster, Toyota Research Institute, and Toyota Gazoo Racing Europe has been accepted at the prestigious NeurIPS 2025 conference. The paper, titled „From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures,“ introduces a novel pretraining approach to enhance the reliability of AI models in safety-critical applications like autonomous driving.
Kategorie: Publikationen
Open-Access Book: „Artificial Intelligence and Fundamental Rights: The AI Act of the European Union and its implications for global technology regulation“
From the abstract: „As AI technologies rapidly reshape societies, they pose both tremendous opportunities and serious risks—especially to fundamental rights. In … Mehr
Special Issue on Learning and Intelligent Optimization of the ACM Transactions on Evolutionary Learning and Optimization available
Here is an overview: The Special Issue on Learning and Intelligent Optimization of the ACM Transactions on Evolutionary Learning and … Mehr
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.
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 … Mehr
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. … Mehr
Prof. Bartz-Beielstein is speaking at The ACM-GECCO Conference 2025 in Malaga
The title of his talks is: „Surrogate Model-Based Multi-Objective Optimization UsingDesirability Functions“ Abstract: The desirability function approach is an established … Mehr
GECCO Genetic and Evolutionary Computation Conference 2025: Proceedings Available
The Genetic and Evolutionary Computation Conferences present the latest high-quality results in the growing field of genetic and evolutionary computation. … Mehr