Alexander Tschantz

Entropy, September, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Variational Bayes Gaussian Splatting.

[BibT_eX]

[DOI]

Toon Van de Maele

Ozan Çatal

Tim Verbelen

CoRR, 2024

Gradient-free variational learning with conditional mixture networks.

[BibT_eX]

[DOI]

CoRR, 2024

From pixels to planning: scale-free active inference.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Active Inference and Intentional Behaviour.

[BibT_eX]

[DOI]

Maxwell J. D. Ramstead

CoRR, 2023

Supervised structure learning.

[BibT_eX]

[DOI]

CoRR, 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

Hybrid Predictive Coding: Inferring, Fast and Slow.

[BibT_eX]

[DOI]

CoRR, 2022

Capsule Networks as Generative Models.

[BibT_eX]

[DOI]

Alex B. Kiefer

Proceedings of the Active Inference - Third International Workshop, 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

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

2020

Learning action-oriented models through active inference.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 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

Scaling Active Inference.

[BibT_eX]

[DOI]

Manuel Baltieri