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Found 5 papers, 1 papers with code
cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
Specifically, our experiments show that training convolutional neural networks (CNNs) with our cDVGAN-generated data improves the detection of samples embedded in detector noise beyond the synthetic data from other state-of-the-art GAN models.
Understanding Iterative Revision from Human-Written Text
Writing is, by nature, a strategic, adaptive, and more importantly, an iterative process.
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