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20212025
most citedOn Bayesian Mechanics: A Physics of and by Beliefs

119 citations

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stat.ML2023★ 5 cited

Bayesian sparsification for deep neural networks with Bayesian model reduction

Dimitrije Marković, Karl J. Friston, Stefan J. Kiebel

Deep learning's immense capabilities are often constrained by the complexity of its models, leading to an increasing demand for effective sparsification techniques. Bayesian sparsi…

stat.ML2023★ 2 cited

Realising Synthetic Active Inference Agents, Part II: Variational Message Updates

Thijs van de Laar, Magnus Koudahl, Bert de Vries

The Free Energy Principle (FEP) describes (biological) agents as minimising a variational Free Energy (FE) with respect to a generative model of their environment. Active Inference…