2 papers
cs.AI2026
PrototypeNAS: Rapid Design of Deep Neural Networks for Microcontroller Units
Mark Deutel, Simon Geis, Axel Plinge
Enabling efficient deep neural network (DNN) inference on edge devices with different hardware constraints is a challenging task that typically requires DNN architectures to be spe…
cs.LG2026
Investigating Target Class Influence on Neural Network Compressibility for Energy-Autonomous Avian Monitoring
Nina Brolich, Simon Geis, Maximilian Kasper +4
Biodiversity loss poses a significant threat to humanity, making wildlife monitoring essential for assessing ecosystem health. Avian species are ideal subjects for this due to thei…