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Found 7 papers, 6 papers with code
An attempt to generate new bridge types from latent space of denoising diffusion Implicit model
Through an easy-to-understand algebraic method, derive the function formulas for adding noise and denoising, making it easier for beginners to master the mathematical principles of the model.
An attempt to generate new bridge types from latent space of energy-based model
Train energy function on symmetric structured image dataset of three span beam bridge, arch bridge, cable-stayed bridge, and suspension bridge to accurately calculate the energy values of real and fake samples.
An attempt to generate new bridge types from latent space of generative flow
Through examples of coordinate and probability transformation between different distributions, the basic principle of normalizing flow is introduced in a simple and concise manner.
An attempt to generate new bridge types from latent space of PixelCNN
Multimodal models should be the way to achieve artificial general intelligence in the future.
An attempt to generate new bridge types from latent space of generative adversarial network
Generative adversarial network can create new bridge types by organically combining different structural components on the basis of human original bridge types.
An attempt to generate new bridge types from latent space of variational autoencoder
Try to generate new bridge types using generative artificial intelligence technology.
SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging
The objective of this paper is to learn semantic representations for sleep stage classification from raw physiological time series.
