49 citations · 60 across the 4 of their papers we have counts for
4 papers
P-PAS: Prefill-Pressure Adaptive Scheduling for Long-Context LLM Serving
Timo Sämann
Long-context LLM applications such as retrieval-augmented generation (RAG) and agentic systems often process tens of thousands of input tokens to produce short outputs, making end-…
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben, Stephanie Abrecht, Maram Akila +38
The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. These s…
Strategy to Increase the Safety of a DNN-based Perception for HAD Systems
Timo Sämann, Peter Schlicht, Fabian Hüger
Safety is one of the most important development goals for highly automated driving (HAD) systems. This applies in particular to the perception function driven by Deep Neural Networ…
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
Timo Sämann, Karl Amende, Stefan Milz +3
The ability to perform semantic segmentation in real-time capable applications with limited hardware is of great importance. One such application is the interpretation of the visua…