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Found 3 papers, 1 papers with code
On the Importance of Distraction-Robust Representations for Robot Learning
Our experimental evaluations demonstrate that representations learned with a traditional dimensionality reduction algorithm are strongly susceptible to distractions in a robot's environment.
Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface
In this paper, we propose a novel approach to predict the post-menstrual age (PA) at scan, using techniques from geometric deep learning, based on the neonatal white matter cortical surface.
Deep Learning for the Degraded Broadcast Channel
Machine learning has shown promising results for communications system problems.
Information Theory Information Theory
