Mathematics | Free Full-Text | Image Reconstruction with Multiscale Interest Points Based on a Conditional Generative Adversarial Network
Applied Sciences | Free Full-Text | Extended Autoencoder for Novelty Detection with Reconstruction along Projection Pathway
Understanding Variational Autoencoders (VAEs) | by Joseph Rocca | Towards Data Science
Electronics | Free Full-Text | BEGAN v3: Avoiding Mode Collapse in GANs Using Variational Inference
LSH-GAN enables in-silico generation of cells for small sample high dimensional scRNA-seq data | Communications Biology
Applied Sciences | Free Full-Text | Improvement of Learning Stability of Generative Adversarial Network Using Variational Learning
Sensors | Free Full-Text | Data Loss Reconstruction Method for a Bridge Weigh-in-Motion System Using Generative Adversarial Networks
Frontiers | Generative Models of Brain Dynamics
Different methods for mitigating overfitting on Neural Networks | Quantdare
Reconstruction performance of our proposed method and VDSR with upscale... | Download Scientific Diagram
generative models - What are the current methods to check for GAN overfitting? - Cross Validated
Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation | Scientific Reports
Mathematics | Free Full-Text | Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation
Diagnostics | Free Full-Text | Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN)
A simple example of overfitting with PPCA: d = 2 and each column of Y... | Download Scientific Diagram
Time series anomaly detection — in the era of deep learning | by MIT — Data to AI Lab | Data to AI Lab | MIT | Medium
A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text
Sensors | Free Full-Text | On the Performance of Generative Adversarial Network by Limiting Mode Collapse for Malware Detection Systems
The network architecture of the generator and discriminator. (a) The... | Download Scientific Diagram
Reconstructing medical images using Generative Adversarial Networks (GANs) | by Nitin Dang | Jovian — Data Science and Machine Learning
Super-resolution generative adversarial networks of randomly-seeded fields | Nature Machine Intelligence
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning | Science
The architecture of the proposed adGAN. Top: the generator... | Download Scientific Diagram
