4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Encoding Binary Events from Continuous Time Series in Rooted Trees using Contrastive Learning
Tobias Engelhardt Rasmussen, Siv Sørensen
Broadband infrastructure owners do not always know how their customers are connected in the local networks, which are structured as rooted trees. A recent study is able to infer th…
cs.LG2022★ 4 cited
Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications
Tobias Engelhardt Rasmussen, Line H Clemmensen, Andreas Baum
Convolutional Neural Networks (CNN) are the state-of-the-art in the field of visual computing. However, a major problem with CNNs is the large number of floating point operations (…