Max Sponner

According to our database, Max Sponner authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adaptive Techniques for Efficient Embedded Deep Learning.

Max Sponner

PhD thesis, 2026

2024

Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning.

Max Sponner, Bernd Waschneck, Akash Kumar

ACM Comput. Surv., October, 2024

Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks.

Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2024

Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI.

Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

IEEE Access, 2024

Efficient Post-training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments.

Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2024

Harnessing Temporal Information for Efficient Edge AI.

Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

Proceedings of the 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC), 2024

2023

Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing.

Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2023

2021

Compiler Toolchains for Deep Learning Workloads on Embedded Platforms.

Max Sponner, Bernd Waschneck, Akash Kumar

CoRR, 2021