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Philipp Stratmann

2 accepted papers

2025

Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity

ICML 2025poster

Linear recurrent neural networks enable powerful long-range sequence modeling with constant memory usage and time-per-token during inference. These architectures hold promise for streaming applications at the edge, but deployment in resource-constrained environments requires hardware-aware optimizat…

Cited by 0SourcePDFScholar
2017

Legged Elastic Multibody Systems: Adjusting Limit Cycles to Close-to-Optimal Energy Efficiency

RA-L 2017

Compliant elements in robotic systems can strongly increase the energy efficiency of highly dynamic periodic motions with large energy consumption such as jumping. Their control is a challenging task for multijoint systems. Typical control algorithms are model-based and thus fail to adjust to unexpe

Cited by 11SourceScholar