Template-based Android inter process communication fuzzing. - Anatoli Kalysch; Mark Deutel; Tilo Müller (ARES, 2020)

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)

Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression. - Mark Deutel; Philipp Woller; Christopher Mutschler; Jürgen Teich (MBMV, 2023)

μYOLO: Towards Single-Shot Object Detection on Microcontrollers. - Mark Deutel; Christopher Mutschler; Jürgen Teich (PKDD/ECML Workshops (5), 2023)

Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks. - Mark Deutel; Georgios D. Kontes; Christopher Mutschler; Jürgen Teich (CoRR, 2023)

microYOLO: Towards Single-Shot Object Detection on Microcontrollers. - Mark Deutel; Christopher Mutschler; Jürgen Teich (CoRR, 2024)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML (Code). - Mark Deutel; Georgios Kontes; Christopher Mutschler; Jürgen Teich (Zenodo, 2024)

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., 2025)