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Molecular Generative Model Based on an Adversarially Regularized Autoencoder | Journal of Chemical Information and Modeling
VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics | Nature Communications
Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery | Molecular Pharmaceutics
Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex. - Abstract - Europe PMC
Generative modeling. This is the fourth of a series of… | by Samuele Bolotta | MLearning.ai | Medium
Generative models and abstractions for large-scale neuroanatomy datasets
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders | PLOS Computational Biology
J. Imaging | Free Full-Text | Generative Adversarial Networks in Brain Imaging: A Narrative Review | HTML
Applied Sciences | Free Full-Text | Disentangled Autoencoder for Cross-Stain Feature Extraction in Pathology Image Analysis | HTML
Brain-inspired replay for continual learning with artificial neural networks | Nature Communications
Autoencoder - Wikipedia
Frontiers | Generative Models of Brain Dynamics
1 — First Step to Generative Deep Learning with Autoencoders | by Kıvanç Yüksel | Medium
Generative Models - Autoencoders · Deep Learning
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility
Representation Learning of Resting State fMRI with Variational Autoencoder | bioRxiv
Shape-Based Generative Modeling for de Novo Drug Design | Journal of Chemical Information and Modeling
Frontiers | The Generative Adversarial Brain
De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling
J. Imaging | Free Full-Text | Variational Autoencoder for Image-Based Augmentation of Eye-Tracking Data | HTML
Variational Autoencoder: An Unsupervised Model for Modeling and Decoding fMRI Activity in Visual Cortex | bioRxiv
Structure of the normative model based on adversarial autoencoders. In... | Download Scientific Diagram
Generative Models - Autoencoders · Deep Learning
Chapter 2. Intro to generative modeling with autoencoders - GANs in Action: Deep learning with Generative Adversarial Networks
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