Back to Star-Embed

Random Embeddings

Baseline Comparison Method

Control Baseline
View Project Project Repository Download Data

Method Overview

Random embeddings serve as a baseline control method to evaluate the effectiveness of learned representations. By generating random vectors for each light curve, we establish a lower bound for performance that helps demonstrate the value of sophisticated feature learning approaches.

Random Embedding Visualization

UMAP visualization showing random embeddings as a baseline comparison

Random Embeddings UMAP Visualization UMAP Legend

Random embeddings show no meaningful clustering, serving as a baseline to demonstrate the effectiveness of learned representations