| Branching time active inference: Empirical study and complexity class analysis T Champion, H Bowman, M Grześ Neural Networks 152, 450-466, 2022 | 14 | 2022 |
| Branching time active inference: the theory and its generality T Champion, L Da Costa, H Bowman, M Grześ Neural Networks 151, 295-316, 2022 | 14 | 2022 |
| Realizing active inference in variational message passing: The outcome-blind certainty seeker T Champion, M Grześ, H Bowman Neural Computation 33 (10), 2762-2826, 2021 | 14 | 2021 |
| Deconstructing deep active inference T Champion, M Grześ, L Bonheme, H Bowman arXiv preprint arXiv:2303.01618, 2023 | 2 | 2023 |
| Branching Time Active Inference with Bayesian Filtering T Champion, M Grześ, H Bowman Neural Computation 34 (10), 2132-2144, 2022 | 2 | 2022 |
| Reframing the Expected Free Energy: Four Formulations and a Unification T Champion, H Bowman, D Marković, M Grześ arXiv preprint arXiv:2402.14460, 2024 | | 2024 |
| Multi-Modal and Multi-Factor Branching Time Active Inference T Champion, M Grześ, H Bowman arXiv preprint arXiv:2206.12503, 2022 | | 2022 |
Howard BowmanSchool of Psychology, University of Birminghambham.ac.uk의 이메일 확인됨
