publicações selecionadas
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artigo académico
- Comparison of neural network architectures for feature extraction from binary black hole merger waveforms. Machine Learning: Science and Technology. 2024
- Convolutional neural networks for the classification of glitches in gravitational-wave data streams. Classical and Quantum Gravity. 2023
- Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection. ArXiv. 2022
- Gravitational-Wave Parameter Inference Using Deep Learning. 13TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI). 2021
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artigo de revista
- Exploring gravitational-wave detection and parameter inference using Deep Learning methods. Classical and Quantum Gravity. 2021
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documento