Abstract: Several popular period estimation techniques use union-of-subspaces models to represent periodic signals. The main idea behind these techniques is to compare the components of the signal ...

This repository contains the code to reproduce experiments of the ICLR 2024 paper Identifying Policy Gradient Subspaces by Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Häufle, ...

The quantification of information flow between subspaces in ensemble predictions for complex dynamical systems is an important practical topic, for example, in weather prediction and climate change ...

This valuable study reports on the characteristics of premotor cortical population activity during the execution and observation of a moderately complex reaching and grasping task. By using new ...

This study demonstrates how integrating decoherence-free subspaces with dynamical decoupling enhances quantum state fidelity, offering a practical route to more noise-resilient quantum computing ...

Abstract: Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods score each ...