Neural Estimation and Optimization of Directed Information over Continuous Spaces

Keyphrases

• Recurrent Neural Network 100%
• Directed Information 100%
• Continuous Space 100%
• Neural Estimation 100%
• Neural Optimization 100%
• Recent Advances 50%
• Neural Network 50%
• Memoryless 50%
• Stochastic Processes 50%
• Information Rate 50%
• Continuous Channels 50%
• Channels with Memory 50%
• Marginal Distribution 50%
• Optimization Methods 50%
• Estimation Method 50%
• Machine Learning 50%
• Ergodic 50%
• Performance Guarantee 50%
• Network Parameters 50%
• Continuous Input 50%
• Deep Generative Models 50%
• Channel Capacity Estimation 50%
• Gradient Ascent 50%

Computer Science

• Continuous Space 100%
• Recurrent Neural Network 100%
• Channel Capacity 50%
• Information Rate 50%
• Marginal Distribution 50%
• Machine Learning 50%
• Performance Guarantee 50%
• Network Parameter 50%
• Deep Generative Model 50%
• End Performance 50%

Engineering

• Recurrent Neural Network 100%
• Joints (Structural Components) 50%
• Channel Capacity 50%
• Information Rate 50%
• Marginal Distribution 50%
• Optimization Method 50%
• Continuous Input 50%
• Network Parameter 50%
• Generative Model 50%
• End Performance 50%