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Found 4 papers, 0 papers with code
When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination
In an unfamiliar setting, a model-based reinforcement learning agent can be limited by the accuracy of its world model.
Sample as You Infer: Predictive Coding With Langevin Dynamics
We present a novel algorithm for parameter learning in generic deep generative models that builds upon the predictive coding (PC) framework of computational neuroscience.
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
Backpropagation has rapidly become the workhorse credit assignment algorithm for modern deep learning methods.
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo
In part, this has been due to the poor performance of models trained with PC when evaluated by both sample quality and marginal likelihood.
