3 papers
cs.LG2026
Robust volatility updates for Hierarchical Gaussian Filtering
Christoph Mathys, Nicolas Legrand, Peter Thestrup Waade +2
Hierarchical Gaussian Filtering (HGF) networks allow for efficient updating of posterior distributions (beliefs) about hidden states of an agent's environment. HGF parent nodes can…
cs.NE2024
pyhgf: A neural network library for predictive coding
Nicolas Legrand, Lilian Weber, Peter Thestrup Waade +4
Bayesian models of cognition have gained considerable traction in computational neuroscience and psychiatry. Their scopes are now expected to expand rapidly to artificial intellige…
cs.NE2023
The generalized Hierarchical Gaussian Filter
Lilian Aline Weber, Peter Thestrup Waade, Nicolas Legrand +3
Hierarchical Bayesian models of perception and learning feature prominently in contemporary cognitive neuroscience where, for example, they inform computational concepts of mental…