Astroparticle Physics Seminar

Hunting the unknowns!

by Dr Alireza Vafaei Sadr (IPM, Tehran)

Europe/Berlin
Main/2-313 - 313 (Main)

Main/2-313 - 313

Main

30
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Description

Anomaly/outlier detection is one challenging area in machine learning, especially for large datasets in high dimensions. An example of application is provided in astronomy by the LSST and SKA, the next-generation optical and radio telescopes which are expected to observe completely new types of celestial objects lurking in the torrent of data in the 100PB-10EB range.

We have explored a general anomaly detection framework based on dimensionality reduction and unsupervised clustering (DRAMA). This approach identifies the primary prototypes in the data with anomalies detected by their large distances from the prototypes, either in the latent space or in the original, high-dimensional space. In this talk we will know more about the anomaly detection techniques and compare them to DRAMA in a wide variety of challenges.

 

The talk is base on: https://arxiv.org/abs/1909.04060