Cover Image

Vision Transformer for Transient Noise Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Srivastava, Divyansh, Niedzielski, Andrzej
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Instrumentation and Methods for Astrophysics Machine Learning General Relativity and Quantum Cosmology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches
by: Li, Yi, et al.
Published: (2024)

Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields
by: Feng, Berthy T., et al.
Published: (2026)

A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run
by: Raikman, Ryan, et al.
Published: (2024)

Flexible Gravitational-Wave Parameter Estimation with Transformers
by: Kofler, Annalena, et al.
Published: (2025)

Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer
by: Shi, Ruijun, et al.
Published: (2023)

Improved Binary Black Hole Search Discriminator from the Singular Value Decomposition of Non-Gaussian Noise Transients
by: Ghosh, Tathagata, et al.
Published: (2025)

Auto-encoder model for faster generation of effective one-body gravitational waveform approximations
by: Garg, Suyog, et al.
Published: (2025)

Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation
by: Wadekar, Digvijay, et al.
Published: (2025)

Enhancing the reliability of machine learning for gravitational wave parameter estimation with attention-based models
by: Iwanaga, Hibiki, et al.
Published: (2025)

Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data
by: Fayad, Ammar
Published: (2024)

Dilated convolutional neural network for detecting extreme-mass-ratio inspirals
by: Zhao, Tianyu, et al.
Published: (2023)

VIGILant: an automatic classification pipeline for glitches in the Virgo detector
by: Fernandes, Tiago, et al.
Published: (2026)

Real-time gravitational-wave inference for binary neutron stars using machine learning
by: Dax, Maximilian, et al.
Published: (2024)

Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors
by: Gurav, Rutuja, et al.
Published: (2024)

Convolutional Neural Networks for signal detection in real LIGO data
by: Zelenka, Ondřej, et al.
Published: (2024)

Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware
by: Chatterjee, Deep, et al.
Published: (2024)

Real-Time Detection of Unmodelled Gravitational-Wave Transients Using Convolutional Neural Networks
by: Skliris, Vasileios, et al.
Published: (2020)

GFH-v2 Pipeline for Searches of Long-Transient Gravitational Waves from Newborn Magnetars
by: Menon, Sandhya Sajith, et al.
Published: (2025)

DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational Wave physics
by: Dooney, Tom, et al.
Published: (2022)

Microseismic Noise Mitigation with Machine Learning for Advanced LIGO
by: Reissel, Christina, et al.
Published: (2025)

Application of Non-Linear Noise Regression in the Virgo Detector
by: Kiendrebeogo, R. Weizmann, et al.
Published: (2024)

Parameter Estimation with Nonstationary Noise in Gravitational-wave Data
by: Kumar, Sumit, et al.
Published: (2022)

Anchors no more: Using peculiar velocities to constrain $H_0$ and the primordial Universe without calibrators
by: Piras, Davide, et al.
Published: (2025)

Reconstructing the Hubble parameter with future Gravitational Wave missions using Machine Learning
by: Mukherjee, Purba, et al.
Published: (2023)

Tests for model misspecification in simulation-based inference: from local distortions to global model checks
by: Montel, Noemi Anau, et al.
Published: (2024)

Likelihood for a Network of Gravitational-Wave Detectors with Correlated Noise
by: Cireddu, Francesco, et al.
Published: (2023)

Inter-Spacecraft Tilt-to-Length Noise Reduction Algorithm for Taiji Mission
by: Deng, Qiong, et al.
Published: (2025)

PINCH: Pipeline-Informed Noise Characterization in LIGO's Third Observing Run
by: Yarbrough, Zach, et al.
Published: (2025)

Identification of Noise-Associated Glitches in KAGRA O3GK with Hveto
by: Akutsu, T., et al.
Published: (2025)

Adaptive Modeling of Correlated Noise in Space-Based Gravitational Wave Detectors
by: Li, Ya-Nan, et al.
Published: (2025)

Fundamental Noise and Gravitational-Wave Sensitivity of the Laser Interferometer Lunar Antenna (LILA)
by: Creighton, Teviet, et al.
Published: (2025)

Technical Noise, Data Quality, and Calibration Requirements for Next-Generation Gravitational-Wave Science
by: Capote, Elenna, et al.
Published: (2024)

Ranging Sensor Fusion in LISA Data Processing: Treatment of Ambiguities, Noise, and On-Board Delays in LISA Ranging Observables
by: Reinhardt, Jan Niklas, et al.
Published: (2023)

Quantum Noise Reduction in the Space-based Gravitational Wave Antenna DECIGO Using Optical Springs and Homodyne Detection scheme
by: Tsuji, Kenji, et al.
Published: (2025)

Neural surrogates for designing gravitational wave detectors
by: Ruiz-Gonzalez, Carlos, et al.
Published: (2025)

Enhancing Taiji's Parameter Estimation under Non-Stationarity: a Time-Frequency Domain Framework for Galactic Binaries and Instrumental Noises
by: Du, Minghui, et al.
Published: (2025)

Efficient Reconstruction of Matched-Filter Signal-to-Noise Ratio Time Series from Nearby Templates for Compact Binary Coalescences Searches
by: Murakami, Yasuhiro, et al.
Published: (2025)

Atmospheric Newtonian Noise May Constrain Third-Generation Gravitational-Wave Detectors
by: Wang, Wenhui, et al.
Published: (2025)

Evaluating Deep Learning Models for Multiclass Classification of LIGO Gravitational-Wave Glitches
by: Manoharan, Rudhresh, et al.
Published: (2026)

Assessing the Impact of Unequal Noises and Foreground Modeling on SGWB Reconstruction with LISA
by: Kume, Jun'ya, et al.
Published: (2024)