5 citations · 10 across the 12 of their papers we have counts for
5 papers · 1 filter
Decodable but not structured: linear probing enables Underwater Acoustic Target Recognition with pretrained audio embeddings
Hilde I. Hummel, Sandjai Bhulai, Rob D. van der Mei +1
Increasing levels of anthropogenic noise from ships contribute significantly to underwater sound pollution, posing risks to marine ecosystems. This makes monitoring crucial to unde…
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…
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
Erica van der Sar, Alessandro Zocca, Sandjai Bhulai
Recent challenges in operating power networks arise from increasing energy demands and unpredictable renewable sources like wind and solar. While reinforcement learning (RL) shows…
The Dutch Draw: Constructing a Universal Baseline for Binary Prediction Models
Etienne van de Bijl, Jan Klein, Joris Pries +3
Novel prediction methods should always be compared to a baseline to know how well they perform. Without this frame of reference, the performance score of a model is basically meani…
Invertible DenseNets
Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai
We introduce Invertible Dense Networks (i-DenseNets), a more parameter efficient alternative to Residual Flows. The method relies on an analysis of the Lipschitz continuity of the…