The Free Energy Principle for Perception and Action: A Deep Learning Perspective

13 July 2022

Papers citing "The Free Energy Principle for Perception and Action: A Deep Learning Perspective"

7 / 7 papers shown

Title
Value of Information and Reward Specification in Active Inference and POMDPs Ran Wei 49 3 0 13 Aug 2024
Rejecting Cognitivism: Computational Phenomenology for Deep Learning P. Beckmann G. Köstner Ines Hipólito 22 4 0 16 Feb 2023
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models Stefano Ferraro Toon Van de Maele Pietro Mazzaglia Tim Verbelen Bart Dhoedt 3DV OCL DRL 21 8 0 16 Sep 2022
Variational Predictive Routing with Nested Subjective Timescales Alexey Zakharov Qinghai Guo Z. Fountas BDL AI4TS 35 9 0 21 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 224 7,902 0 13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015