48 citations · 48 across the 2 of their papers we have counts for
3 papers
A Bayesian Interpretation of the Internal Model Principle
Manuel Baltieri, Martin Biehl, Matteo Capucci +1
The internal model principle, originally proposed in the theory of control of linear systems, nowadays represents a more general class of results in control theory and cybernetics.…
Interpreting Dynamical Systems as Bayesian Reasoners
Nathaniel Virgo, Martin Biehl, Simon McGregor
A central concept in active inference is that the internal states of a physical system parametrise probability measures over states of the external world. These can be seen as an a…
Permutation-equivariant neural networks applied to dynamics prediction
Nicholas Guttenberg, Nathaniel Virgo, Olaf Witkowski +2
The introduction of convolutional layers greatly advanced the performance of neural networks on image tasks due to innately capturing a way of encoding and learning translation-inv…