Kernel Cyclicity Analysis
- Date
- Feb 10, 2026
- Time
- 3:00 PM - 4:00 PM
- Speaker
- Darrick Lee
- Affiliation
- University of Edinburgh
- Language
- en
- Main Topic
- Biologie
- Host
- Kelly Maggs
- Description
- Time series data often contain latent cyclic structure, but standard tools to recover it often assume regular sampling and reliable time stamps. Cyclicity analysis was introduced as a reparametrization invariant method to detect linear planes which maximize the signed area of time series, acting as a proxy for cyclic behavior. In this talk, we discuss ongoing work to generalize cyclicity analysis to the nonlinear setting by using kernel methods. We introduce computable method to extract nonlinear cyclic coordinates from time series along with geometric phase variables. We’ll discuss some theoretical results, along with some preliminary experiments.
Last modified: Feb 6, 2026, 7:37:11 AM
Location
Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG CSBD SR Top Floor (VC))Pfotenhauerstraße10801307Dresden
- Phone
- +49 351 210-0
- Fax
- +49 351 210-2000
- MPI-CBG
- Homepage
- http://www.mpi-cbg.de
Organizer
Max Planck Institute of Molecular Cell Biology and GeneticsPfotenhauerstraße10801307Dresden
- Phone
- +49 351 210-0
- Fax
- +49 351 210-2000
- MPI-CBG
- Homepage
- http://www.mpi-cbg.de
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