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Lancelot Da Costa
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2020 – today
- 2024
- [j13]Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
:
On efficient computation in active inference. Expert Syst. Appl. 253: 124315 (2024) - [j12]Mahault Albarracin, Maxwell Ramstead, Riddhi J. Pitliya, Inês Hipólito
, Lancelot Da Costa, Maria Raffa
, Axel Constant, Sarah Grace Manski:
Sustainability under Active Inference. Syst. 12(5): 163 (2024) - [i13]Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid:
Active Inference as a Model of Agency. CoRR abs/2401.12917 (2024) - 2023
- [j11]Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston
, Ryan Smith:
Reward Maximization Through Discrete Active Inference. Neural Comput. 35(5): 807-852 (2023) - [i12]Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi:
On efficient computation in active inference. CoRR abs/2307.00504 (2023) - [i11]Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin:
Collective behavior from surprise minimization. CoRR abs/2307.14804 (2023) - [i10]Karl J. Friston, Lancelot Da Costa, Alexander Tschantz, Alex B. Kiefer, Tommaso Salvatori, Victorita Neacsu, Magnus T. Koudahl, Conor Heins, Noor Sajid, Dimitrije Markovic, Thomas Parr, Tim Verbelen, Christopher L. Buckley:
Supervised structure learning. CoRR abs/2311.10300 (2023) - [i9]Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa, Philipp Hennig
:
Sample Path Regularity of Gaussian Processes from the Covariance Kernel. CoRR abs/2312.14886 (2023) - 2022
- [j10]Lancelot Da Costa
, Pablo Lanillos
, Noor Sajid, Karl J. Friston
, Shujhat Khan:
How Active Inference Could Help Revolutionise Robotics. Entropy 24(3): 361 (2022) - [j9]Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
:
Bayesian Brains and the Rényi Divergence. Neural Comput. 34(4): 829-855 (2022) - [j8]Théophile Champion
, Lancelot Da Costa
, Howard Bowman
, Marek Grzes:
Branching Time Active Inference: The theory and its generality. Neural Networks 151: 295-316 (2022) - [i8]Alessandro Barp, Lancelot Da Costa, Guilherme França, Karl J. Friston, Mark A. Girolami, Michael I. Jordan, Grigorios A. Pavliotis
:
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents. CoRR abs/2203.10592 (2022) - [i7]Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa:
Modelling non-reinforced preferences using selective attention. CoRR abs/2207.13699 (2022) - [i6]Lancelot Da Costa, Grigorios A. Pavliotis:
The entropy production of stationary diffusions. CoRR abs/2212.05125 (2022) - 2021
- [j7]Lancelot Da Costa
, Thomas Parr
, Biswa Sengupta, Karl J. Friston
:
Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy 23(4): 454 (2021) - [j6]Karl J. Friston
, Lancelot Da Costa
, Thomas Parr
:
Some Interesting Observations on the Free Energy Principle. Entropy 23(8): 1076 (2021) - [j5]Thomas Parr
, Lancelot Da Costa
, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston
:
Memory and Markov Blankets. Entropy 23(9): 1105 (2021) - [j4]Kai Ueltzhöffer, Lancelot Da Costa
, Daniela Cialfi
, Karl J. Friston
:
A Drive towards Thermodynamic Efficiency for Dissipative Structures in Chemical Reaction Networks. Entropy 23(9): 1115 (2021) - [j3]Karl J. Friston
, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa
, Thomas Parr
:
Stochastic Chaos and Markov Blankets. Entropy 23(9): 1220 (2021) - [j2]Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston
:
Generative Models for Active Vision. Frontiers Neurorobotics 15: 651432 (2021) - [j1]Karl J. Friston
, Lancelot Da Costa, Danijar Hafner, Casper Hesp
, Thomas Parr:
Sophisticated Inference. Neural Comput. 33(3): 713-763 (2021) - [i5]Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston:
Bayesian brains and the Rényi divergence. CoRR abs/2107.05438 (2021) - [i4]Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston:
Active inference, Bayesian optimal design, and expected utility. CoRR abs/2110.04074 (2021) - [i3]Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes:
Branching Time Active Inference: the theory and its generality. CoRR abs/2111.11107 (2021) - 2020
- [i2]Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr:
Sophisticated Inference. CoRR abs/2006.04120 (2020) - [i1]Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith:
The relationship between dynamic programming and active inference: the discrete, finite-horizon case. CoRR abs/2009.08111 (2020)
Coauthor Index
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last updated on 2024-08-05 21:22 CEST by the dblp team
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