Active inference on discrete state-spaces: A synthesis L Da Costa, T Parr, N Sajid, S Veselic, V Neacsu, K Friston Journal of Mathematical Psychology 99, 102447, 2020 | 228 | 2020 |
Markov blankets, information geometry and stochastic thermodynamics T Parr, L Da Costa, K Friston Philosophical Transactions of the Royal Society A 378 (2164), 20190159, 2020 | 171 | 2020 |
Sophisticated inference K Friston, L Da Costa, D Hafner, C Hesp, T Parr Neural Computation 33 (3), 713-763, 2021 | 116 | 2021 |
The free energy principle made simpler but not too simple K Friston, L Da Costa, N Sajid, C Heins, K Ueltzhöffer, GA Pavliotis, T Parr Physics Reports 1024, 1-29, 2023 | 112* | 2023 |
Bayesian mechanics for stationary processes L Da Costa, K Friston, C Heins, GA Pavliotis Proceedings of the Royal Society A 477 (2256), 20210518, 2021 | 94 | 2021 |
On Bayesian mechanics: a physics of and by beliefs MJD Ramstead, DAR Sakthivadivel, C Heins, M Koudahl, B Millidge, ... Interface Focus 13 (3), 20220029, 2023 | 83* | 2023 |
Stochastic chaos and Markov blankets K Friston, C Heins, K Ueltzhöffer, L Da Costa, T Parr Entropy 23 (9), 1220, 2021 | 82 | 2021 |
Some interesting observations on the free energy principle KJ Friston, L Da Costa, T Parr Entropy 23 (8), 1076, 2021 | 80 | 2021 |
Path integrals, particular kinds, and strange things K Friston, L Da Costa, DAR Sakthivadivel, C Heins, GA Pavliotis, ... Physics of Life Reviews, 2023 | 57 | 2023 |
Reward maximization through discrete active inference L Da Costa, N Sajid, T Parr, K Friston, R Smith Neural Computation 35 (5), 807-852, 2023 | 50* | 2023 |
Neural dynamics under active inference: Plausibility and efficiency of information processing L Da Costa, T Parr, B Sengupta, K Friston Entropy 23 (4), 454, 2021 | 50* | 2021 |
Memory and Markov blankets T Parr, L Da Costa, C Heins, MJD Ramstead, KJ Friston Entropy 23 (9), 1105, 2021 | 47 | 2021 |
Future climates: Markov blankets and active inference in the biosphere S Rubin, T Parr, L Da Costa, K Friston Journal of the Royal Society Interface 17 (172), 20200503, 2020 | 43 | 2020 |
How active inference could help revolutionise robotics L Da Costa, P Lanillos, N Sajid, K Friston, S Khan Entropy 24 (3), 361, 2022 | 36 | 2022 |
Generative models for active vision T Parr, N Sajid, L Da Costa, MB Mirza, KJ Friston Frontiers in Neurorobotics 15, 651432, 2021 | 34 | 2021 |
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents A Barp, L Da Costa, G França, K Friston, M Girolami, MI Jordan, ... Handbook of Statistics 46, 21-78, 2022 | 24* | 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 | 16 | 2022 |
Active inference, Bayesian optimal design, and expected utility N Sajid, L Da Costa, T Parr, K Friston The Drive for Knowledge: The Science of Human Information Seeking, 124-146, 2022 | 11* | 2022 |
Bayesian brains and the Rényi divergence N Sajid, F Faccio, L Da Costa, T Parr, J Schmidhuber, K Friston Neural Computation 34 (4), 829-855, 2022 | 9 | 2022 |
Sparse coupling and Markov blankets: A comment on" How particular is the physics of the Free Energy Principle?" by Aguilera, Millidge, Tschantz and Buckley C Heins, L Da Costa arXiv preprint arXiv:2205.10190, 2022 | 8 | 2022 |