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April 23, 2024Open Access

Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches

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Authors

YLYi LiYWYunan WuAKAggelos K. Katsaggelos

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Cite This Study

Li et al. (2024) studied this question.

synapsesocial.com/papers/68e6e09eb6db64358765c5cbhttps://doi.org/10.48550/arxiv.2404.15552
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  1. 1Utilizing Convolutional Autoencoder for Anomaly Detections in LIGO Spectrogram Data2024
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  3. 3Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation2024 · 4 citations
  4. 4Advancing Glitch Classification in Gravity Spy: Multi-view Fusion with Attention-based Machine Learning for Advanced LIGO's Fourth Observing Run2025
  5. 5Evaluating Deep Learning Models for Multiclass Classification of LIGO Gravitational-Wave Glitches2026