Christopher L. Buckley

Orcid: 0000-0002-8551-9121

Affiliations:
  • VERSES Research Lab, Los Angeles, CA, USA
  • University of Sussex, Department of Informatics, UK
  • University of Southampton, UK (PhD 2008)


According to our database1, Christopher L. Buckley authored at least 72 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Natural Induction: Spontaneous Adaptive Organisation without Natural Selection.
Entropy, September, 2024

Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems.
CoRR, 2024

Variational Bayes Gaussian Splatting.
CoRR, 2024

R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models.
CoRR, 2024

Learning in Hybrid Active Inference Models.
CoRR, 2024

Gradient-free variational learning with conditional mixture networks.
CoRR, 2024

Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
CoRR, 2024

Hybrid Recurrent Models Support Emergent Descriptions for Hierarchical Planning and Control.
CoRR, 2024

From pixels to planning: scale-free active inference.
CoRR, 2024

2023
A behavioral and modeling study of control algorithms underlying the translational optomotor response in larval zebrafish with implications for neural circuit function.
PLoS Comput. Biol., February, 2023

Hybrid predictive coding: Inferring, fast and slow.
PLoS Comput. Biol., 2023

Active Inference and Intentional Behaviour.
CoRR, 2023

Supervised structure learning.
CoRR, 2023

Brain-Inspired Computational Intelligence via Predictive Coding.
CoRR, 2023

Understanding Predictive Coding as an Adaptive Trust-Region Method.
CoRR, 2023

Attention: Marginal Probability is All You Need?
CoRR, 2023

Attention as Implicit Structural Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory.
Proceedings of the Active Inference - 4th International Workshop, 2023

Relative Representations for Cognitive Graphs.
Proceedings of the Active Inference - 4th International Workshop, 2023

Understanding Tool Discovery and Tool Innovation Using Active Inference.
Proceedings of the Active Inference - 4th International Workshop, 2023

Pretraining Language Models with Human Preferences.
Proceedings of the International Conference on Machine Learning, 2023

2022
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs.
Neural Comput., 2022

Designing Ecosystems of Intelligence from First Principles.
CoRR, 2022

Successor Representation Active Inference.
CoRR, 2022

Hybrid Predictive Coding: Inferring, Fast and Slow.
CoRR, 2022

Active Inference Successor Representations.
Proceedings of the Active Inference - Third International Workshop, 2022

A Message Passing Perspective on Planning Under Active Inference.
Proceedings of the Active Inference - Third International Workshop, 2022

Preventing Deterioration of Classification Accuracy in Predictive Coding Networks.
Proceedings of the Active Inference - Third International Workshop, 2022

Capsule Networks as Generative Models.
Proceedings of the Active Inference - Third International Workshop, 2022

Spin Glass Systems as Collective Active Inference.
Proceedings of the Active Inference - Third International Workshop, 2022

Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models.
Proceedings of the Active Inference - Third International Workshop, 2022

RL with KL penalties is better viewed as Bayesian inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Whence the Expected Free Energy?
Neural Comput., 2021

Active Inference in Robotics and Artificial Agents: Survey and Challenges.
CoRR, 2021

A Mathematical Walkthrough and Discussion of the Free Energy Principle.
CoRR, 2021

Predictive Coding: a Theoretical and Experimental Review.
CoRR, 2021

Understanding the origin of information-seeking exploration in probabilistic objectives for control.
CoRR, 2021

Neural Kalman Filtering.
CoRR, 2021

Habitual and Reflective Control in Hierarchical Predictive Coding.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020
Learning action-oriented models through active inference.
PLoS Comput. Biol., 2020

Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm.
CoRR, 2020

Relaxing the Constraints on Predictive Coding Models.
CoRR, 2020

Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain.
CoRR, 2020

Control as Hybrid Inference.
CoRR, 2020

Reinforcement Learning as Iterative and Amortised Inference.
CoRR, 2020

Reinforcement Learning through Active Inference.
CoRR, 2020

On the Relationship Between Active Inference and Control as Inference.
Proceedings of the Active Inference - First International Workshop, 2020

Predictions in the eye of the beholder: an active inference account of Watt governors.
Proceedings of the 2020 Conference on Artificial Life, 2020

Scaling Active Inference.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
PID Control as a Process of Active Inference with Linear Generative Models.
Entropy, 2019

Generative models as parsimonious descriptions of sensorimotor loops.
CoRR, 2019

The dark room problem in predictive processing and active inference, a legacy of cognitivism?
Proceedings of the 2019 Conference on Artificial Life, 2019

Nonmodular Architectures of Cognitive Systems based on Active Inference.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback.
PLoS Comput. Biol., 2018

A Probabilistic Interpretation of PID Controllers Using Active Inference.
Proceedings of the From Animals to Animats 15, 2018

The modularity of action and perception revisited using control theory and active inference.
Proceedings of the 2018 Conference on Artificial Life, 2018

2017
An active inference implementation of phototaxis.
Proceedings of the Fourteenth European Conference Artificial Life, 2017

2015
A Minimal Active Inference Agent.
CoRR, 2015

2011
Optimization in "self-modeling" complex adaptive systems.
Complex., 2011

Global Adaptation in Networks of Selfish Components: Emergent Associative Memory at the System Scale.
Artif. Life, 2011

"If You Can't Be With the One You Love, Love the One You're With": How Individual Habituation of Agent Interactions Improves Global Utility.
Artif. Life, 2011

Transformations in the scale of behavior and the global optimization of constraints in adaptive networks.
Adapt. Behav., 2011

Transformations and multi-scale optimisation in biological adaptive networks.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

2010
Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task.
Complex., 2010

Spatially embedded dynamics and complexity.
Complex., 2010

Adaptation without Natural Selection.
Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

Associative Memory in Gene Regulation Networks.
Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

2008
Sensitivity and stability: A signal propagation sweet spot in a sheet of recurrent centre crossing neurons.
Biosyst., 2008

Monostable Controllers for Adaptive Behaviour.
Proceedings of the From Animals to Animats 10, 2008

Dynamical complexity of spatially embedded networks.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
Spatial Embedding and Complexity: The Small-World Is Not Enough.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2005
Timescale and Stability in Adaptive Behaviour.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005


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