Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
Variational autoencoder - Wikipedia
Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning - Koge - 2021 - Molecular Informatics - Wiley Online Library
L4 Latent Variable Models (VAE) -- CS294-158-SP20 Deep Unsupervised Learning -- UC Berkeley - YouTube
Learning Efficient, Collective Monte Carlo Moves with Variational Autoencoders | Journal of Chemical Theory and Computation
14. Variational Autoencoder — deep learning for molecules & materials
A multi-encoder variational autoencoder controls multiple transformational features in single-cell image analysis | Communications Biology
Quantitative comparison of principal component analysis and unsupervised deep learning using variational autoencoders for shape analysis of motile cells | bioRxiv
Frontiers | Exploring Factor Structures Using Variational Autoencoder in Personality Research
Image Compression and Generation using Variational Autoencoders in Python
Learning Efficient, Collective Monte Carlo Moves with Variational Autoencoders | Journal of Chemical Theory and Computation
Frontiers | Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data
VAE-GAN Explained! - YouTube
Variational Autoencoder in TensorFlow (Python Code)
MAKE | Free Full-Text | Semi-Supervised Adversarial Variational Autoencoder
How to Build a Variational Autoencoder in Keras | Paperspace Blog
Learning Efficient, Collective Monte Carlo Moves with Variational Autoencoders | Journal of Chemical Theory and Computation
Molecules | Free Full-Text | VAE-Sim: A Novel Molecular Similarity Measure Based on a Variational Autoencoder
Variational Autoencoder in TensorFlow (Python Code)
Posit AI Blog: FNN-VAE for noisy time series forecasting
Encoding and exploring latent design space of optimal material structures via a VAE-LSTM model - ScienceDirect
Simple and Effective VAE Training with Calibrated Decoders
Optimization of physical quantities in the autoencoder latent space | Scientific Reports
