Conor Heins

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Collective Behavior

Analytical Model

Probabilistic Inference

Top Venues

Publications

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)
Daphne Demekas, Conor Heins, Brennan Klein
An Analytical Model of Active Inference in the Iterated Prisoner's Dilemma. IWAI (2023)
Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin
Collective behavior from surprise minimization. CoRR (2023)
Daphne Demekas, Conor Heins, Brennan Klein
An analytical model of active inference in the Iterated Prisoner's Dilemma. 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)
Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain Couzin, Alexander Tschantz
pymdp: A Python library for active inference in discrete state spaces. CoRR (2022)
Mahault Albarracin, Daphne Demekas, Maxwell J. D. Ramstead, Conor Heins
Epistemic Communities under Active Inference. Entropy 24 (4) (2022)
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) (2022)
Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher Buckley
Spin glass systems as collective active inference. CoRR (2022)
Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher L. Buckley
Spin Glass Systems as Collective Active Inference. IWAI (2022)
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 (2022)
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)
Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston
Memory and Markov Blankets. Entropy 23 (9) (2021)
Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr
Stochastic Chaos and Markov Blankets. Entropy 23 (9) (2021)
Conor Heins, M. Berk Mirza, Thomas Parr, Karl J. Friston, Igor Kagan, Arezoo Pooresmaeili
Deep Active Inference and Scene Construction. Frontiers Artif. Intell. 3 (2020)
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)