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2020 – today
- 2024
[i8]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 abs/2407.20292 (2024)- [i7]Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz, Jeff Beck, Christopher L. Buckley:
Gradient-free variational learning with conditional mixture networks. CoRR abs/2408.16429 (2024) - 2023
- [c4]Daphne Demekas
, Conor Heins, Brennan Klein:
An Analytical Model of Active Inference in the Iterated Prisoner's Dilemma. IWAI 2023: 145-172 - [i6]Daphne Demekas, Conor Heins, Brennan Klein:
An analytical model of active inference in the Iterated Prisoner's Dilemma. CoRR abs/2306.15494 (2023) - [i5]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) - [i4]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) - 2022
- [j5]Mahault Albarracin, Daphne Demekas, Maxwell J. D. Ramstead, Conor Heins:
Epistemic Communities under Active Inference. Entropy 24(4): 476 (2022) - [j4]Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz:
pymdp: A Python library for active inference in discrete state spaces. J. Open Source Softw. 7(73): 4098 (2022) - [c3]Miguel Aguilera, Ángel Poc-López, Conor Heins, Christopher L. Buckley:
Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models. IWAI 2022: 65-74 - [c2]Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher L. Buckley:
Spin Glass Systems as Collective Active Inference. IWAI 2022: 75-98 - [i3]Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz:
pymdp: A Python library for active inference in discrete state spaces. CoRR abs/2201.03904 (2022) - [i2]Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher Buckley:
Spin glass systems as collective active inference. CoRR abs/2207.06970 (2022) - [i1]Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René:
Designing Ecosystems of Intelligence from First Principles. CoRR abs/2212.01354 (2022) - 2021
- [j3]Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston:
Memory and Markov Blankets. Entropy 23(9): 1105 (2021) - [j2]Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr:
Stochastic Chaos and Markov Blankets. Entropy 23(9): 1220 (2021) - 2020
- [j1]Conor Heins, M. Berk Mirza, Thomas Parr, Karl J. Friston, Igor Kagan, Arezoo Pooresmaeili:
Deep Active Inference and Scene Construction. Frontiers Artif. Intell. 3: 509354 (2020)
2010 – 2019
- 2017
- [c1]Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht:
Sparse convolutional coding for neuronal assembly detection. NIPS 2017: 3675-3685
Coauthor Index
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