Lancelot Da Costa
Cited by
Cited by
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
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
Sophisticated inference
K Friston, L Da Costa, D Hafner, C Hesp, T Parr
Neural Computation 33 (3), 713-763, 2021
Bayesian mechanics for stationary processes
L Da Costa, K Friston, C Heins, GA Pavliotis
Proceedings of the Royal Society A 477 (2256), 20210518, 2021
Some interesting observations on the free energy principle
KJ Friston, L Da Costa, T Parr
Entropy 23 (8), 1076, 2021
Stochastic chaos and markov blankets
K Friston, C Heins, K Ueltzhöffer, L Da Costa, T Parr
Entropy 23 (9), 1220, 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
The relationship between dynamic programming and active inference: The discrete, finite-horizon case
L Da Costa, N Sajid, T Parr, K Friston, R Smith
arXiv preprint arXiv:2009.08111, 2020
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
Generative models for active vision
T Parr, N Sajid, L Da Costa, MB Mirza, KJ Friston
Frontiers in Neurorobotics 15, 651432, 2021
How active inference could help revolutionise robotics
L Da Costa, P Lanillos, N Sajid, K Friston, S Khan
Entropy 24 (3), 361, 2022
On bayesian mechanics: A physics of and by beliefs
MJD Ramstead, DAR Sakthivadivel, C Heins, M Koudahl, B Millidge, ...
arXiv preprint arXiv:2205.11543, 2022
Memory and Markov blankets
T Parr, L Da Costa, C Heins, MJD Ramstead, KJ Friston
Entropy 23 (9), 1105, 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
arXiv preprint arXiv:2201.06387, 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
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, 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
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
Geometric methods for sampling, optimization, inference, and adaptive agents
GA Pavliotisc
Geometry and Statistics, 21, 2022
A drive towards thermodynamic efficiency for dissipative structures in chemical reaction networks
K Ueltzhöffer, L Da Costa, D Cialfi, K Friston
Entropy 23 (9), 1115, 2021
The system can't perform the operation now. Try again later.
Articles 1–20