Neal, Radford M.

Bayesian Learning for Neural Networks

Neal, R. M. (1996) · Lecture Notes in Statistics

Gaussian Processes and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 4,276

MCMC Using Hamiltonian Dynamics

Neal, R. M. (2011) · Handbook of Markov Chain Monte Carlo

Markov Chains and Monte Carlo MethodsTheoretical and Computational Physics

Cited by 2,574

A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants

Neal, R. M., & Hinton, G. E. (1998) · Learning in Graphical Models

Bayesian Methods and Mixture ModelsBayesian Modeling and Causal Inference

Cited by 2,187

The helmholtz machine

Dayan, P., Hinton, G. E., Neal, R. M., & Zemel, R. S. (1995) · Neural Computation

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 1,207

The "Wake-Sleep" Algorithm for Unsupervised Neural Networks

Hinton, G. E., Dayan, P., Frey, B. J., & Neal, R. M. (1995) · Science

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 1,070