Carsten Trinitis — accepted AI-conference papers

2026

Building AI Hardware Expertise: Edge AI Curriculum Design and Implementation in German Universities

Ann-Marie Gursch, Xuanshu Luo, Lilian Hasse, Carsten Trinitis, Ulrike Lucke, Martin Werner +1

AAAI 2026technical

Edge artificial intelligence (AI) redistributes AI computation from distant cloud to local processors for real-time processing and enhanced privacy. This fundamental shift underscores a critical gap in current university curricula, which predominantly focus on AI fundamentals and algorithms while of

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2024

Dataset Distillation by Automatic Training Trajectories

Dai Liu*, Jindong Gu*, Hu Cao, Carsten Trinitis, Martin Schulz*

ECCV 2024poster

"Dataset Distillation is used to create a concise, yet informative, synthetic dataset that can replace the original dataset for training purposes. Some leading methods in this domain prioritize long-range matching, involving the unrolling of training trajectories with a fixed number of steps (NS ) o…

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