Beren Millidge

Yuhang Song

Tommaso Salvatori

Thomas Lukasiewicz

Rafal Bogacz

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Associative Memories in the Feature Space.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs.

[BibT_eX]

[DOI]

Neural Comput., 2022

pymdp: A Python library for active inference in discrete state spaces.

[BibT_eX]

[DOI]

J. Open Source Softw., 2022

Designing Ecosystems of Intelligence from First Principles.

[BibT_eX]

[DOI]

CoRR, 2022

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm.

[BibT_eX]

[DOI]

CoRR, 2022

Interpreting Neural Networks through the Polytope Lens.

[BibT_eX]

[DOI]

CoRR, 2022

Successor Representation Active Inference.

[BibT_eX]

[DOI]

CoRR, 2022

Hybrid Predictive Coding: Inferring, Fast and Slow.

[BibT_eX]

[DOI]

CoRR, 2022

Learning on Arbitrary Graph Topologies via Predictive Coding.

[BibT_eX]

[DOI]

CoRR, 2022

Learning on Arbitrary Graph Topologies via Predictive Coding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Predictive Coding beyond Gaussian Distributions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Theoretical Framework for Inference Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Inference Successor Representations.

[BibT_eX]

[DOI]

Proceedings of the Active Inference - Third International Workshop, 2022

Preventing Deterioration of Classification Accuracy in Predictive Coding Networks.

[BibT_eX]

[DOI]

Paul F. Kinghorn

Proceedings of the Active Inference - Third International Workshop, 2022

Capsule Networks as Generative Models.

[BibT_eX]

[DOI]

Alex B. Kiefer

Proceedings of the Active Inference - Third International Workshop, 2022

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Whence the Expected Free Energy?

[BibT_eX]

[DOI]

Neural Comput., 2021

The Acquisition of Culturally Patterned Attention Styles Under Active Inference.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2021

Active Inference in Robotics and Artificial Agents: Survey and Challenges.

[BibT_eX]

[DOI]

Jun Tani

CoRR, 2021

A Mathematical Walkthrough and Discussion of the Free Energy Principle.

[BibT_eX]

[DOI]

CoRR, 2021

Predictive Coding: a Theoretical and Experimental Review.

[BibT_eX]

[DOI]

CoRR, 2021

Applications of the Free Energy Principle to Machine Learning and Neuroscience.

[BibT_eX]

[DOI]

CoRR, 2021

Online reinforcement learning with sparse rewards through an active inference capsule.

[BibT_eX]

[DOI]

Alejandro Daniel Noel

Charel van Hoof

CoRR, 2021

Towards a Mathematical Theory of Abstraction.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding the origin of information-seeking exploration in probabilistic objectives for control.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Kalman Filtering.

[BibT_eX]

[DOI]

CoRR, 2021

Habitual and Reflective Control in Hierarchical Predictive Coding.

[BibT_eX]

[DOI]

Paul F. Kinghorn

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm.

[BibT_eX]

[DOI]

CoRR, 2020

Relaxing the Constraints on Predictive Coding Models.

[BibT_eX]

[DOI]

CoRR, 2020

Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain.

[BibT_eX]

[DOI]

CoRR, 2020

Control as Hybrid Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning as Iterative and Amortised Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning through Active Inference.

[BibT_eX]

[DOI]

CoRR, 2020

On the Relationship Between Active Inference and Control as Inference.

[BibT_eX]

[DOI]

Proceedings of the Active Inference - First International Workshop, 2020

Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events.

[BibT_eX]

[DOI]

Proceedings of the Active Inference - First International Workshop, 2020

2019

Deep Active Inference as Variational Policy Gradients.

[BibT_eX]

[DOI]