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NADE: Neural Autoregressive Density Estimation by Priya Senthilkumar is a document available to read on EtoBox.
What is NADE: Neural Autoregressive Density Estimation about?
Neural Autoregressive Density Estimation (NADE) is a neural network framework for modeling high-dimensional data distributions using autoregressive techniques, expressing joint probabilities as products of conditional probabilities. It features a weight-sharing scheme for computational efficiency and has applications in image generation and unsupervised learning tasks. The Real-valued Neural Autoregressive Density Estimator (RNADE) extends NADE to model real-valued vectors, enhancing tractability and effici
- Author
- Priya Senthilkumar
- Language
- EN