Model alignment using inter-modal bridges.
CoRR, May, 2025
A Broken Duet: Multistable Dynamics in Dyadic Interactions.
Entropy, September, 2024
On efficient computation in active inference.
Expert Syst. Appl., 2024
Active Inference as a Model of Agency.
CoRR, 2024
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Hierarchical generative modelling for autonomous robots.
Nat. Mac. Intell., December, 2023
Reward Maximization Through Discrete Active Inference.
Neural Comput., May, 2023
Reclaiming saliency: Rhythmic precision-modulated action and perception.
Frontiers Neurorobotics, September, 2022
Bayesian Brains and the Rényi Divergence.
Neural Comput., 2022
How Active Inference Could Help Revolutionise Robotics.
Entropy, 2022
Modelling non-reinforced preferences using selective attention.
CoRR, 2022
Active Inference: Demystified and Compared.
Neural Comput., 2021
Generative Models for Active Vision.
Frontiers Neurorobotics, 2021
Cancer Niches and Their Kikuchi Free Energy.
Entropy, 2021
Active inference, Bayesian optimal design, and expected utility.
CoRR, 2021
Exploration and preference satisfaction trade-off in reward-free learning.
CoRR, 2021
Active Inference for Stochastic Control.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
The relationship between dynamic programming and active inference: the discrete, finite-horizon case.
CoRR, 2020
Deep active inference agents using Monte-Carlo methods.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Demystifying active inference.
CoRR, 2019
Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI.
CoRR, 2018