In this article, in order to better handle this problem, a novel generative model named the conditional variational autoencoder with an adversarial training process (CVA 2 E) is proposed for ...

To address this limitation, we introduce a novel generative model that integrates the principles of variational autoencoders (VAEs) with adversarial training techniques. Our model consists of a ...

A Convolutional Variational Autoencoder (CVAE) was developed for this purpose. We demonstrate the efficacy of our approach using the transient data generated from the simulations. The simulation data ...

Dear authors, Thanks for the excellent work! About VQVAE for embedding image to latent, you have provided the pre-trained model. Could you please share the training and testing code and instruction ...

The Variational Autoencoder model is a neural network that provides collaborative filtering based on implicit feedback, specifically, it provides product recommendations based on user and item ...

In this study, we demonstrated that variational autoencoders (VAEs), a type of deep learning model, can be employed to explore the conformational space of a protein through MD simulations. VAEs are ...