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 ...

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

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

Next, Dear-DIA uses a variational autoencoder to extract the peak features of fragment ions and maps the features into Euclidean space, and then clusters the features, with different classes of ...