Aiming at the operation reliability assessment of rolling bearings, this paper proposes a bearings operational reliability assessment using an ensemble deep autoencoder based on asymmetric structure. In this method, an ensemble deep autoencoder is used to adaptively learn degradation...
We then present an autoencoder of crystal structures as an application of the NeSF. In this autoencoder, crystal structures are embedded into vectors z (called latent vectors) via an encoder, and then the NeSF acts as a decoder to recover the input crystal structures from z. The ...
We refer to the final AE architecture as a Structure-To-Signal autoencoder (S2SAE). Similarly, we define the term Structure-to-Signal network (S2SNet) for the ensemble of an S2SAE and clas- sifier. 1.1. Formal Definitions To understand the relationship between ...
Through a series of experiments, the model shows excellent performance in the open-set recognition task and reaches the current leading level in the field. A gated recurrent unit based variational autoencoder with an innovative incorporation of a probabilistic ladder structure, named the LVAEGRU ...
While the sparse protein structure autoencoders described in "Efficient protein structure generation with sparse denoising models" are more of a side-note, we still provide scripts and parameters for applying these models to your protein structures. To use these, please download and unpack the auto...
Deep neural networks are good at extracting low-dimensional subspaces (latent spaces) that represent the essential features inside a high-dimensional dataset. Deep generative models represented by variational autoencoders (VAEs) can generate and infer hi
Mirra & Pugnale [30]Variational autoencoder (VAE) generator network consisting of an encoder, latent space, and decoder. The encoder and decoder are both artificial neural network (ANN) models, and the latent space is a feature reduction space obtained by extracting the input features through the...
Crystal Diffusion Variational AutoEncoder This software implementes Crystal Diffusion Variational AutoEncoder (CDVAE), which generates the periodic structure of materials. It has several main functionalities: Generate novel, stable materials by learning from a dataset containing existing material structures. ...
whole-number ratio of atoms in the compound. An example of a formula is Ba2MnCr. A cell composition is a chemical formula referring to the total number of atoms of each type in the unit cell of a crystal. It represents the chemical formula of the compound as it would appear in the ...
The proposed Attention-based Fractal Unet (AFUnet) technique combines benefits of fractal convolutional networks, attention blocks, and the encoder-decoder structure of Unet. The AFUnet models are fit on training data and their performance is assessed on independent validation and testing datasets. ...