Conor Heins

According to our database, Conor Heins authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems.

Ran Wei, Joseph Lee, Shohei Wakayama, Alexander Tschantz, Conor Heins, Christopher Buckley, John Carenbauer, Hari Thiruvengada, Mahault Albarracin, Miguel de Prado, Petter Horling, Peter Winzell, Renjith Rajagopal

CoRR, 2024

Gradient-free variational learning with conditional mixture networks.

Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz, Jeff Beck, Christopher Buckley

CoRR, 2024

From pixels to planning: scale-free active inference.

Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr

CoRR, 2024

2023

Supervised structure learning.

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

CoRR, 2023

Collective behavior from surprise minimization.

Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin

CoRR, 2023

An Analytical Model of Active Inference in the Iterated Prisoner's Dilemma.

Daphne Demekas, Conor Heins, Brennan Klein

Proceedings of the Active Inference - 4th International Workshop, 2023

2022

pymdp: A Python library for active inference in discrete state spaces.

Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz

J. Open Source Softw., 2022

Epistemic Communities under Active Inference.

Mahault Albarracin, Daphne Demekas, Maxwell J. D. Ramstead, Conor Heins

Entropy, 2022

Designing Ecosystems of Intelligence from First Principles.

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

CoRR, 2022

Spin Glass Systems as Collective Active Inference.

Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher L. Buckley

Proceedings of the Active Inference - Third International Workshop, 2022

Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models.

Miguel Aguilera, Ángel Poc-López, Conor Heins, Christopher L. Buckley

Proceedings of the Active Inference - Third International Workshop, 2022

2021

Memory and Markov Blankets.

Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston

Entropy, 2021

Stochastic Chaos and Markov Blankets.

Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr

Entropy, 2021

2020

Deep Active Inference and Scene Construction.

Conor Heins, M. Berk Mirza, Thomas Parr, Karl J. Friston, Igor Kagan, Arezoo Pooresmaeili

Frontiers Artif. Intell., 2020

2017

Sparse convolutional coding for neuronal assembly detection.

Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017