Holger Giese

Interference-aware service placements can drastically enhance response performance in cloud-native applications by explicitly controlling for cross-application resource competition.

Rovers can now navigate more intelligently by querying real-time semantic maps with natural language, thanks to a novel confidence-aware mapping approach.

Observational metrics fail to predict causal expert importance in Mixture-of-Experts models, undermining common pruning practices.

LLMs can synthesize formal safety rules from natural language goals, offering a path to more robust and verifiable AI systems in safety-critical domains.