Picture for Shakir Mohamed

Shakir Mohamed

Unsupervised Learning of 3D Structure from Images

Add code
Jun 19, 2018
Figure 1 for Unsupervised Learning of 3D Structure from Images
Figure 2 for Unsupervised Learning of 3D Structure from Images
Figure 3 for Unsupervised Learning of 3D Structure from Images
Figure 4 for Unsupervised Learning of 3D Structure from Images
Viaarxiv icon

Distribution Matching in Variational Inference

Add code
Jun 12, 2018
Figure 1 for Distribution Matching in Variational Inference
Figure 2 for Distribution Matching in Variational Inference
Figure 3 for Distribution Matching in Variational Inference
Figure 4 for Distribution Matching in Variational Inference
Viaarxiv icon

Unsupervised Predictive Memory in a Goal-Directed Agent

Add code
Mar 28, 2018
Figure 1 for Unsupervised Predictive Memory in a Goal-Directed Agent
Figure 2 for Unsupervised Predictive Memory in a Goal-Directed Agent
Figure 3 for Unsupervised Predictive Memory in a Goal-Directed Agent
Figure 4 for Unsupervised Predictive Memory in a Goal-Directed Agent
Viaarxiv icon

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Add code
Feb 20, 2018
Figure 1 for Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
Figure 2 for Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
Figure 3 for Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
Figure 4 for Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
Viaarxiv icon

Variational Approaches for Auto-Encoding Generative Adversarial Networks

Add code
Oct 21, 2017
Figure 1 for Variational Approaches for Auto-Encoding Generative Adversarial Networks
Figure 2 for Variational Approaches for Auto-Encoding Generative Adversarial Networks
Figure 3 for Variational Approaches for Auto-Encoding Generative Adversarial Networks
Figure 4 for Variational Approaches for Auto-Encoding Generative Adversarial Networks
Viaarxiv icon

The Cramer Distance as a Solution to Biased Wasserstein Gradients

Add code
May 30, 2017
Figure 1 for The Cramer Distance as a Solution to Biased Wasserstein Gradients
Figure 2 for The Cramer Distance as a Solution to Biased Wasserstein Gradients
Figure 3 for The Cramer Distance as a Solution to Biased Wasserstein Gradients
Figure 4 for The Cramer Distance as a Solution to Biased Wasserstein Gradients
Viaarxiv icon

Recurrent Environment Simulators

Add code
Apr 19, 2017
Figure 1 for Recurrent Environment Simulators
Figure 2 for Recurrent Environment Simulators
Figure 3 for Recurrent Environment Simulators
Figure 4 for Recurrent Environment Simulators
Viaarxiv icon

Learning in Implicit Generative Models

Add code
Feb 27, 2017
Figure 1 for Learning in Implicit Generative Models
Viaarxiv icon

Generative Temporal Models with Memory

Add code
Feb 21, 2017
Figure 1 for Generative Temporal Models with Memory
Figure 2 for Generative Temporal Models with Memory
Figure 3 for Generative Temporal Models with Memory
Figure 4 for Generative Temporal Models with Memory
Viaarxiv icon

Normalizing Flows on Riemannian Manifolds

Add code
Nov 09, 2016
Figure 1 for Normalizing Flows on Riemannian Manifolds
Viaarxiv icon