7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Self-Distilled Representation Learning for Time Series
Felix Pieper, Konstantin Ditschuneit, Martin Genzel +2
Self-supervised learning for time-series data holds potential similar to that recently unleashed in Natural Language Processing and Computer Vision. While most existing works in th…
stat.ML2016★ 7 cited
A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations
Martin Genzel, Gitta Kutyniok
In this paper, we study the challenge of feature selection based on a relatively small collection of sample pairs . The observations $y_i \in \mat…