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Gravitational Wave Detection

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Showing 1–20 of 20 papers

TitleStatusHype
Convolutional neural networks: a magic bullet for gravitational-wave detection?Code1
Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference—0
DeepGrav: Anomalous Gravitational-Wave Detection Through Deep Latent FeaturesCode0
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave GlitchesCode0
Compact Binary Systems Waveform Generation with Generative Pre-trained Transformer—0
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds—0
Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergersCode0
Momentum-Based Learning of Nash Equilibria for LISA Pointing Acquisition—0
DeepSNR: A deep learning foundation for offline gravitational wave detection—0
On Improving the Performance of Glitch Classification for Gravitational Wave Detection by using Generative Adversarial Networks—0
A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals—0
Inference-optimized AI and high performance computing for gravitational wave detection at scale—0
Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders—0
Generalized Approach to Matched Filtering using Neural Networks—0
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection—0
Genetic-algorithm-optimized neural networks for gravitational wave classification—0
Gravitational Wave Detection and Information Extraction via Neural Networks—0
Detection of gravitational waves using topological data analysis and convolutional neural network: An improved approach—0
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with LIGO Data—0
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data—0
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