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

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

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

High-level design of character Wasserstein autoencoder (cWAE) model.... |  Download Scientific Diagram
High-level design of character Wasserstein autoencoder (cWAE) model.... | Download Scientific Diagram

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

arxiv on Twitter: "Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative  Model. https://t.co/IZm0pugxPP https://t.co/ZDuSsMnpLa" / Twitter
arxiv on Twitter: "Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model. https://t.co/IZm0pugxPP https://t.co/ZDuSsMnpLa" / Twitter

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

Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui · Distributional Sliced- Wasserstein and Applications to Generative Modeling · SlidesLive
Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui · Distributional Sliced- Wasserstein and Applications to Generative Modeling · SlidesLive

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

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

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

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

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

Topic Modeling with Wasserstein Autoencoders - ACL Anthology
Topic Modeling with Wasserstein Autoencoders - ACL Anthology

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

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

WASSERSTEIN AUTO-ENCODERS
WASSERSTEIN AUTO-ENCODERS

Learning Autoencoders with Relational Regularization
Learning Autoencoders with Relational Regularization

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

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

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

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

Deep joint two-stream Wasserstein auto-encoder and selective attention  alignment for unsupervised domain adaptation | SpringerLink
Deep joint two-stream Wasserstein auto-encoder and selective attention alignment for unsupervised domain adaptation | SpringerLink

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

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

A new data generation approach with modified Wasserstein auto-encoder for  rotating machinery fault diagnosis with limited fault data - ScienceDirect
A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data - ScienceDirect

Introduction to Deep Generative Models
Introduction to Deep Generative Models

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

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