Lancelot Da Costa

32 papers Journal 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian Predictive Coding. CoRR Alexander Tschantz, Magnus T. Koudahl, Hampus Linander, Lancelot Da Costa, Conor Heins, Jeff Beck, Christopher L. Buckley
2025	J	`jnl`	Gradient-Free De Novo Learning. Entropy Karl J. Friston, Thomas Parr, Conor Heins, Lancelot Da Costa, Tommaso Salvatori, Alexander Tschantz, Magnus T. Koudahl, Toon Van de Maele, Christopher Buckley, Tim Verbelen
2025	J	`jnl`	Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling. CoRR Lancelot Da Costa, Sanjeev Namjoshi, Mohammed Abbas Ansari, Bernhard Schölkopf
2024	J	`jnl`	Active Inference as a Model of Agency. CoRR Lancelot Da Costa, Samuel Tenka, Dominic Zhao, Noor Sajid
2024	J	`jnl`	From pixels to planning: scale-free active inference. CoRR Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr
2024	J	`jnl`	On efficient computation in active inference. Expert Syst. Appl. Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
2024	J	`jnl`	Possible principles for aligned structure learning agents. CoRR Lancelot Da Costa, Tomas Gavenciak, David Hyland, Mandana Samiei, Cristian Dragos-Manta, Candice Pattisapu, Adeel Razi, Karl J. Friston
2024	J	`jnl`	Sustainability under Active Inference. Syst. Mahault Albarracin, Maxwell Ramstead, Riddhi J. Pitliya, Inês Hipólito, Lancelot Da Costa, Maria Raffa, Axel Constant, Sarah Grace Manski
2024	J	`jnl`	Toward Universal and Interpretable World Models for Open-ended Learning Agents. CoRR Lancelot Da Costa
2023	J	`jnl`	Collective behavior from surprise minimization. CoRR Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin
2023	J	`jnl`	On efficient computation in active inference. CoRR Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi
2023	J	`jnl`	Reward Maximization Through Discrete Active Inference. Neural Comput. Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith
2023	J	`jnl`	Sample Path Regularity of Gaussian Processes from the Covariance Kernel. CoRR Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa, Philipp Hennig
2023	J	`jnl`	Supervised structure learning. CoRR 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
2022	J	`jnl`	Bayesian Brains and the Rényi Divergence. Neural Comput. Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2022	J	`jnl`	Branching Time Active Inference: The theory and its generality. Neural Networks Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes
2022	J	`jnl`	Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents. CoRR Alessandro Barp, Lancelot Da Costa, Guilherme França, Karl J. Friston, Mark A. Girolami, Michael I. Jordan, Grigorios A. Pavliotis
2022	J	`jnl`	How Active Inference Could Help Revolutionise Robotics. Entropy Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan
2022	J	`jnl`	Modelling non-reinforced preferences using selective attention. CoRR Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa
2022	J	`jnl`	The entropy production of stationary diffusions. CoRR Lancelot Da Costa, Grigorios A. Pavliotis
2021	J	`jnl`	A Drive towards Thermodynamic Efficiency for Dissipative Structures in Chemical Reaction Networks. Entropy Kai Ueltzhöffer, Lancelot Da Costa, Daniela Cialfi, Karl J. Friston
2021	J	`jnl`	Active inference, Bayesian optimal design, and expected utility. CoRR Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston
2021	J	`jnl`	Bayesian brains and the Rényi divergence. CoRR Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2021	J	`jnl`	Branching Time Active Inference: the theory and its generality. CoRR Théophile Champion, Lancelot Da Costa, Howard Bowman, Marek Grzes
2021	J	`jnl`	Generative Models for Active Vision. Frontiers Neurorobotics Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston
2021	J	`jnl`	Memory and Markov Blankets. Entropy Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston
2021	J	`jnl`	Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy Lancelot Da Costa, Thomas Parr, Biswa Sengupta, Karl J. Friston
2021	J	`jnl`	Some Interesting Observations on the Free Energy Principle. Entropy Karl J. Friston, Lancelot Da Costa, Thomas Parr
2021	J	`jnl`	Sophisticated Inference. Neural Comput. Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
2021	J	`jnl`	Stochastic Chaos and Markov Blankets. Entropy Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr
2020	J	`jnl`	Sophisticated Inference. CoRR Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
2020	J	`jnl`	The relationship between dynamic programming and active inference: the discrete, finite-horizon case. CoRR Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith