2 citations · 4 across the 4 of their papers we have counts for
4 papers
When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination
Martin Benfeghoul, Umais Zahid, Qinghai Guo +1
In an unfamiliar setting, a model-based reinforcement learning agent can be limited by the accuracy of its world model. In this work, we present a novel, training-free approach to…
Sample as You Infer: Predictive Coding With Langevin Dynamics
Umais Zahid, Qinghai Guo, Zafeirios Fountas
We present a novel algorithm for parameter learning in generic deep generative models that builds upon the predictive coding (PC) framework of computational neuroscience. Our appro…
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
Umais Zahid, Qinghai Guo, Zafeirios Fountas
Backpropagation has rapidly become the workhorse credit assignment algorithm for modern deep learning methods. Recently, modified forms of predictive coding (PC), an algorithm with…
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo
Umais Zahid, Qinghai Guo, Karl Friston +1
Predictive coding (PC) accounts of perception now form one of the dominant computational theories of the brain, where they prescribe a general algorithm for inference and learning…