Lancelot Da Costa

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Gaussian Processes

Geometric Methods

Selective Attention

Top Venues

Frontiers Neurorobotics

Publications

Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid
Active Inference as a Model of Agency. CoRR (2024)
Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher L. Buckley, Thomas Parr
From pixels to planning: scale-free active inference. CoRR (2024)
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) (2024)
Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
On efficient computation in active inference. Expert Syst. Appl. 253 (2024)
Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith
Reward Maximization Through Discrete Active Inference. Neural Comput. 35 (5) (2023)
Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin
Collective behavior from surprise minimization. CoRR (2023)
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 (2023)
Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
On efficient computation in active inference. CoRR (2023)
Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa, Philipp Hennig
Sample Path Regularity of Gaussian Processes from the Covariance Kernel. CoRR (2023)
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 (2022)
Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan
How Active Inference Could Help Revolutionise Robotics. Entropy 24 (3) (2022)
Lancelot Da Costa, Grigorios A. Pavliotis
The entropy production of stationary diffusions. CoRR (2022)
Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa
Modelling non-reinforced preferences using selective attention. CoRR (2022)
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian Brains and the Rényi Divergence. Neural Comput. 34 (4) (2022)
Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes
Branching Time Active Inference: The theory and its generality. Neural Networks 151 (2022)
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) (2021)
Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston
Memory and Markov Blankets. Entropy 23 (9) (2021)
Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes
Branching Time Active Inference: the theory and its generality. CoRR (2021)
Lancelot Da Costa, Thomas Parr, Biswa Sengupta, Karl J. Friston
Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy 23 (4) (2021)
Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston
Generative Models for Active Vision. Frontiers Neurorobotics 15 (2021)
Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr
Stochastic Chaos and Markov Blankets. Entropy 23 (9) (2021)
Karl J. Friston, Lancelot Da Costa, Thomas Parr
Some Interesting Observations on the Free Energy Principle. Entropy 23 (8) (2021)
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
Bayesian brains and the Rényi divergence. CoRR (2021)
Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
Sophisticated Inference. Neural Comput. 33 (3) (2021)
Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston
Active inference, Bayesian optimal design, and expected utility. CoRR (2021)
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 (2020)
Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
Sophisticated Inference. CoRR (2020)