72 citations · 291 across the 17 of their papers we have counts for
6 papers · 1 filter
Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe
Michael Färber, Alexander Klein
One of the main challenges of startups is to raise capital from investors. For startup founders, it is therefore crucial to know whether investors have a bias against women as star…
Memory-Aware Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems
Andres Gomez, Andreas Tretter, Pascal Alexander Hager +3
Sensing systems powered by energy harvesting have traditionally been designed to tolerate long periods without energy. As the Internet of Things (IoT) evolves towards a more transi…
Using system context information to complement weakly labeled data
Matthias Meyer, Michaela Wenner, Clément Hibert +2
Real-world datasets collected with sensor networks often contain incomplete and uncertain labels as well as artefacts arising from the system environment. Complete and reliable lab…
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim, Andreas Biri, Zhongnan Qu +1
With the surge of inexpensive computational and memory resources, neural networks (NNs) have experienced an unprecedented growth in architectural and computational complexity. Intr…
Resource-Aware Stochastic Self-Triggered Model Predictive Control
Yingzhao Lian, Yuning Jiang, Naomi Stricker +2
This paper considers the control of uncertain systems that are operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware…
PredCoin: Defense against Query-based Hard-label Attack
Junfeng Guo, Yaswanth Yadlapalli, Thiele Lothar +2
Many adversarial attacks and defenses have recently been proposed for Deep Neural Networks (DNNs). While most of them are in the white-box setting, which is impractical, a new clas…