1 citations · 1 across the 7 of their papers we have counts for
7 papers
The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning
Hilde I. Hummel, Arwin Gansekoele, Sandjai Bhulai +1
The increasing level of sound pollution in marine environments poses an increased threat to ocean health, making it crucial to monitor underwater noise. By monitoring this noise, t…
Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications
Arwin Gansekoele, Sandjai Bhulai, Mark Hoogendoorn +1
In the era of telecommunications, the increasing demand for complex and specialized communication systems has led to a focus on improving physical layer communications. Artificial…
Meta-Learning for Federated Face Recognition in Imbalanced Data Regimes
Arwin Gansekoele, Emiel Hess, Sandjai Bhulai
The growing privacy concerns surrounding face image data demand new techniques that can guarantee user privacy. One such face recognition technique that claims to achieve better us…
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations
Arwin Gansekoele, Alexios Balatsoukas-Stimming, Tom Brusse +3
As telecommunication systems evolve to meet increasing demands, integrating deep neural networks (DNNs) has shown promise in enhancing performance. However, the trade-off between a…
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption
Arwin Gansekoele, Tycho Bot, Rob van der Mei +2
Encryption on the internet with the shift to HTTPS has been an important step to improve the privacy of internet users. However, there is an increasing body of work about extractin…
Robustly overfitting latents for flexible neural image compression
Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai
Neural image compression has made a great deal of progress. State-of-the-art models are based on variational autoencoders and are outperforming classical models. Neural compression…
Learning to Request Guidance in Emergent Communication
Benjamin Kolb, Leon Lang, Henning Bartsch +6
Previous research into agent communication has shown that a pre-trained guide can speed up the learning process of an imitation learning agent. The guide achieves this by providing…