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How to Generate Images using Autoencoders | AI Summer
How to Generate Images using Autoencoders | AI Summer

Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling

Wasserstein variational autoencoders - Batı Şengül
Wasserstein variational autoencoders - Batı Şengül

Generative Autoencoders Beyond VAEs: (Sliced) Wasserstein Autoencoders · Notes on Artificial Intelligence
Generative Autoencoders Beyond VAEs: (Sliced) Wasserstein Autoencoders · Notes on Artificial Intelligence

Probabilistic Natural Language Generation with Wasserstein Autoencoders | DeepAI
Probabilistic Natural Language Generation with Wasserstein Autoencoders | DeepAI

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model

A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text
A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text

Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network - ScienceDirect
Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network - ScienceDirect

PDF] Wasserstein Auto-Encoders | Semantic Scholar
PDF] Wasserstein Auto-Encoders | Semantic Scholar

Tom Sercu on Twitter: "We want to generate new peptides (short proteins) which are active anti-microbials and not toxic. To start, we trained a Wasserstein Auto-Encoder on a large diverse set of
Tom Sercu on Twitter: "We want to generate new peptides (short proteins) which are active anti-microbials and not toxic. To start, we trained a Wasserstein Auto-Encoder on a large diverse set of

Deep generative models - Dan MacKinlay
Deep generative models - Dan MacKinlay

JACIII Vol.25 p.195 (2021) | Fuji Technology Press: academic journal publisher
JACIII Vol.25 p.195 (2021) | Fuji Technology Press: academic journal publisher

GANs vs. Autoencoders: Comparison of Deep Generative Models | by Matthew Stewart | Towards Data Science
GANs vs. Autoencoders: Comparison of Deep Generative Models | by Matthew Stewart | Towards Data Science

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model

PDF] Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process | Semantic Scholar
PDF] Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process | Semantic Scholar

6: The architectures of the encoder E, generator G and discriminator D... | Download Scientific Diagram
6: The architectures of the encoder E, generator G and discriminator D... | Download Scientific Diagram

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model | Papers With Code
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model | Papers With Code

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model | DeepAI
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model | DeepAI

PDF] Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model | Semantic Scholar
PDF] Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model | Semantic Scholar

Introduction to Deep Generative Models
Introduction to Deep Generative Models

Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings | DeepAI
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings | DeepAI

Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process
Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process

Deep Learning 34: (1) Wasserstein Generative Adversarial Network (WGAN): Introduction - YouTube
Deep Learning 34: (1) Wasserstein Generative Adversarial Network (WGAN): Introduction - YouTube

Molecular Generative Model Based on an Adversarially Regularized Autoencoder | Journal of Chemical Information and Modeling
Molecular Generative Model Based on an Adversarially Regularized Autoencoder | Journal of Chemical Information and Modeling