Showing 1–20 of 56 results
/ Date/ Name
Sep 11, 2020Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the BrainOct 13, 2020Investigating the Scalability and Biological Plausibility of the Activation Relaxation AlgorithmFeb 19, 2021Neural Kalman FilteringNov 9, 2024Zyda-2: a 5 Trillion Token High-Quality DatasetDec 31, 2025Equivalence of Personalized PageRank and Successor RepresentationsJun 23, 2020On the Relationship Between Active Inference and Control as InferenceMar 11, 2021Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for ControlJun 3, 2021Towards a Mathematical Theory of AbstractionJun 4, 2021Online reinforcement learning with sparse rewards through an active inference capsuleNov 22, 2024The Zamba2 Suite: Technical ReportJul 20, 2022Successor Representation Active InferenceJul 21, 2022A Theoretical Framework for Inference and Learning in Predictive Coding NetworksJul 27, 2021Predictive Coding: a Theoretical and Experimental ReviewJun 30, 2021Applications of the Free Energy Principle to Machine Learning and NeuroscienceSep 2, 2021Habitual and Reflective Control in Hierarchical Predictive CodingNov 22, 2022Interpreting Neural Networks through the Polytope LensFeb 18, 2022Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?May 31, 2022Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian LearningApr 17, 2020Whence the Expected Free Energy?Aug 30, 2021A Mathematical Walkthrough and Discussion of the Free Energy Principle