08.05.2024

MCML Researchers With One Paper at ICDE 2024
40th IEEE International Conference on Data Engineering (ICDE 2024). Utrecht, Netherlands, 13.05.2024–17.05.2024
We are happy to announce that MCML researchers are represented with one paper at ICDE 2024. Congrats to our researchers!
Main Track (1 papers)
DROPP: Structure-aware PCA for Ordered Data.
ICDE 2024 - 40th IEEE International Conference on Data Engineering. Utrecht, Netherlands, May 13-17, 2024. DOI
Abstract
Ordered data arises in many areas, e.g., in molecular dynamics and other spatial-temporal trajectories. While data points that are close in this order are related, common dimensionality reduction techniques cannot capture this relation or order. Thus, the information is lost in the low-dimensional representations. We introduce DROPP, which incorporates order into dimensionality reduction by adapting a Gaussian kernel function across the ordered covariances between data points. We find underlying principal components that are characteristic of the process that generated the data. In extensive experiments, we show DROPP’s advantages over other dimensionality reduction techniques on synthetic as well as real-world data sets from molecular dynamics and climate research: The principal components of different data sets that were generated by the same underlying mechanism are very similar to each other. They can, thus, be used for dimensionality reduction with low reconstruction errors along a set of data sets, allowing an explainable visual comparison of different data sets as well as good compression even for unseen data.
MCML Authors
Database Systems and Data Mining AI Lab
08.05.2024
Related

01.09.2025
AI for Personalized Psychiatry - With Researcher Clara Vetter
AI research by Clara Vetter uses brain, genetic and smartphone data to personalize psychiatry and improve diagnosis and treatment.

25.08.2025
Satellite Insights for a Sustainable Future - With Researcher Ivica Obadic
AI from satellite imagery helps design livable cities, improve well-being & food systems with transparent models by Ivica Obadić.


18.08.2025
Mingyang Wang Receives Award at ACL 2025
MCML Junior Member Mingyang Wang wins SAC Highlights Award at ACL 2025 for research on cross-lingual consistency in language models.

18.08.2025
Digital Twins for Surgery - With Researcher Azade Farshad
Azade Farshad develops patient digital twins at TUM & MCML to improve personalized treatment, surgical planning, and training.