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Found 5 papers, 1 papers with code
Causal Inference via Predictive Coding
Bayesian inference models observations: what can be inferred about y if we observe a related variable x?
Mathematical Capabilities of ChatGPT
We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a novel methodology.
Predictive Coding beyond Gaussian Distributions
A large amount of recent research has the far-reaching goal of finding training methods for deep neural networks that can serve as alternatives to backpropagation (BP).
Learning on Arbitrary Graph Topologies via Predictive Coding
Training with backpropagation (BP) in standard deep learning consists of two main steps: a forward pass that maps a data point to its prediction, and a backward pass that propagates the error of this prediction back through the network.
Unifying Categorical Models by Explicit Disentanglement of the Labels' Generative Factors
By doing so, it is possible to merge multiple datasets based on different categorical models by projecting the data points into a unified latent space.
