Mark Deutel

According to our database, Mark Deutel authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers.

Mark Deutel, Frank Hannig, Christopher Mutschler, Jürgen Teich

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2025

2024

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML (Code).

Mark Deutel, Georgios Kontes, Christopher Mutschler, Jürgen Teich

Dataset, October, 2024

microYOLO: Towards Single-Shot Object Detection on Microcontrollers.

Mark Deutel, Christopher Mutschler, Jürgen Teich

CoRR, 2024

2023

Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks.

Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich

CoRR, 2023

μYOLO: Towards Single-Shot Object Detection on Microcontrollers.

Mark Deutel, Christopher Mutschler, Jürgen Teich

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression.

Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich

Proceedings of the Methods and Description Languages for Modelling and Verification of Circuits and Systems, 2023

2022

Deployment of Energy-Efficient Deep Learning Models on Cortex-M based Microcontrollers using Deep Compression.

Mark Deutel, Philipp Woller, Christopher Mutschler, Jürgen Teich

CoRR, 2022

2020

Template-based Android inter process communication fuzzing.

Anatoli Kalysch, Mark Deutel, Tilo Müller

Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020