Lancelot Da Costa

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Karl FristonUniversity College LondonEmail verificata su ucl.ac.uk
Thomas ParrUniversity of OxfordEmail verificata su ndcn.ox.ac.uk
Noor SajidMax Planck Institute of Biological CyberneticsEmail verificata su tuebingen.mpg.de
Conor HeinsVERSES AI Research LabEmail verificata su verses.ai
G.A. PavliotisDepartment of Mathematics Imperial College LondonEmail verificata su imperial.ac.uk
Kai UeltzhoefferEMBL Heidelberg, DKFZ HeidelbergEmail verificata su embl.de
Maxwell J. D. RamsteadQueen Square Institute of NeurologyEmail verificata su ucl.ac.uk
Magnus T. KoudahlSenior Machine Learning Researcher, VERSES.aiEmail verificata su verses.ai
Dalton A R SakthivadivelCUNY Graduate CenterEmail verificata su gc.cuny.edu
Beren MillidgePostdoctoral Researcher, University of OxfordEmail verificata su millidge.name
Biswa SenguptaImperial College London, University College LondonEmail verificata su imperial.ac.uk
Ryan SmithLaureate Institute for brain researchEmail verificata su laureateinstitute.org
Danijar HafnerGoogle DeepMindEmail verificata su google.com
Brennan KleinAssociate Research Scientist, Northeastern UniversityEmail verificata su northeastern.edu
Alessandro BarpUniversity College London, The Alan Turing InstituteEmail verificata su ucl.ac.uk
Pablo LanillosAssistant Professor at Donders Institute for Brain, Cognition and Behaviour, Radboud UniversityEmail verificata su donders.ru.nl
Lars Sandved-SmithMonash Centre for Consciousness and Contemplative StudiesEmail verificata su monash.edu
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoEmail verificata su kaust.edu.sa
Dimitrije MarkovićChair of Neuroimaging, Psychology Department, Technische Universität DresdenEmail verificata su tu-dresden.de
Tommaso SalvatoriVERSES Research LabEmail verificata su verses.io

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Lancelot Da Costa

Imperial College London, UCL & VERSES

Email verificata su imperial.ac.uk - Home page

Mathematics Physics Cognitive Science Artificial Intelligence


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	265	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	175	2020
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	132*	2023
Sophisticated inference K Friston, L Da Costa, D Hafner, C Hesp, T Parr Neural Computation 33 (3), 713-763, 2021	128	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	105	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	100*	2023
Stochastic chaos and Markov blankets K Friston, C Heins, K Ueltzhöffer, L Da Costa, T Parr Entropy 23 (9), 1220, 2021	88	2021
Some interesting observations on the free energy principle KJ Friston, L Da Costa, T Parr Entropy 23 (8), 1076, 2021	84	2021
Path integrals, particular kinds, and strange things K Friston, L Da Costa, DAR Sakthivadivel, C Heins, GA Pavliotis, ... Physics of Life Reviews, 2023	81*	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	61*	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	58*	2021
Memory and Markov blankets T Parr, L Da Costa, C Heins, MJD Ramstead, KJ Friston Entropy 23 (9), 1105, 2021	48	2021
How active inference could help revolutionise robotics L Da Costa, P Lanillos, N Sajid, K Friston, S Khan Entropy 24 (3), 361, 2022	45	2022
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	45	2020
Generative models for active vision T Parr, N Sajid, L Da Costa, MB Mirza, KJ Friston Frontiers in Neurorobotics 15, 651432, 2021	42	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	28*	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	20	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	15*	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	11	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	10	2022

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