In this paper, we propose a deep learning-based transceiver design for secrecy systems as an alternative. Specifically, we modify the loss function design of a variational autoencoder, which is a ...

Schematic of variational autoencoder (VAE) antimicrobial peptide (AMP) generation and design process. The VAE AMP generation and design process occurs in two stages: (1) training the VAE for the ...

Generating Synthetic Data Using a Variational Autoencoder with PyTorch. Generating synthetic data is useful when you have imbalanced training data for a particular ... Because the input values are ...

This repository contains the implementation of MMO-VAE, a Variational AutoEncoder (VAE) with mask-guided multi-objective optimization for de novo drug design. Implements KLD Sigmoid Annealing and ...

"3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design". 3DLinker is a 3D graph variational auto-encoder that is equivariant to rigid transformations and reflections (E(3) ...

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Hossein Abbasi , Mahdi Malekpour , Shahin Yaghoobi , Sina Abdous , Mohammad Hossein ...

In this paper, we propose a deep learning-based transceiver design for secrecy systems as an alternative. Specifically, we modify the loss function design of a variational autoencoder, which is a ...