3 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Reframing the Expected Free Energy: Four Formulations and a Unification
Théophile Champion, Howard Bowman, Dimitrije Marković +1
Active inference is a leading theory of perception, learning and decision making, which can be applied to neuroscience, robotics, psychology, and machine learning. Active inference…
Predicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI
Adam White, Margarita Saranti, Artur d'Avila Garcez +3
Machine learning offers great potential for automated prediction of post-stroke symptoms and their response to rehabilitation. Major challenges for this endeavour include the very…
Deconstructing deep active inference
Théophile Champion, Marek Grześ, Lisa Bonheme +1
Active inference is a theory of perception, learning and decision making, which can be applied to neuroscience, robotics, and machine learning. Recently, reasearch has been taking…