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2020 – today
- 2024
[j31]Thomas Parr
, Karl J. Friston, Peter Zeidman:
Active Data Selection and Information Seeking. Algorithms 17(3): 118 (2024)- [j30]Jakub Limanowski, Rick A. Adams, James Kilner, Thomas Parr:
The Many Roles of Precision in Action. Entropy 26(9): 790 (2024) - [i9]Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr:
From pixels to planning: scale-free active inference. CoRR abs/2407.20292 (2024) - 2023
- [j29]Karl J. Friston, Daniel Ari Friedman, Axel Constant, V. Bleu Knight, Chris Fields, Thomas Parr, John O. Campbell:
A Variational Synthesis of Evolutionary and Developmental Dynamics. Entropy 25(7): 964 (2023) - [j28]Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith:
Reward Maximization Through Discrete Active Inference. Neural Comput. 35(5): 807-852 (2023) - [j27]Peter Zeidman, Karl J. Friston, Thomas Parr:
A primer on Variational Laplace (VL). NeuroImage 279: 120310 (2023) - [i8]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) - [i7]Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead:
Active Inference and Intentional Behaviour. CoRR abs/2312.07547 (2023) - 2022
- [j26]Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid:
Reclaiming saliency: Rhythmic precision-modulated action and perception. Frontiers Neurorobotics 16 (2022) - [j25]Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston:
Bayesian Brains and the Rényi Divergence. Neural Comput. 34(4): 829-855 (2022) - [j24]Micah Allen, Andrew Levy, Thomas Parr, Karl J. Friston:
In the Body's Eye: The computational anatomy of interoceptive inference. PLoS Comput. Biol. 18(9): 1010490 (2022) - [i6]Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid:
Reclaiming saliency: rhythmic precision-modulated action and perception. CoRR abs/2203.12652 (2022) - 2021
- [j23]Lancelot Da Costa, Thomas Parr, Biswa Sengupta, Karl J. Friston:
Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy 23(4): 454 (2021) - [j22]Thomas Parr:
Message Passing and Metabolism. Entropy 23(5): 606 (2021) - [j21]Karl J. Friston, Lancelot Da Costa, Thomas Parr:
Some Interesting Observations on the Free Energy Principle. Entropy 23(8): 1076 (2021) - [j20]Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston:
Memory and Markov Blankets. Entropy 23(9): 1105 (2021) - [j19]Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr:
Stochastic Chaos and Markov Blankets. Entropy 23(9): 1220 (2021) - [j18]Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston:
Generative Models for Active Vision. Frontiers Neurorobotics 15: 651432 (2021) - [j17]Thomas Parr, Dimitrije Markovic, Maxwell James D. Ramstead, Ryan Smith, Casper Hesp, Karl J. Friston:
Editorial: Probabilistic Perspectives on Brain (Dys)function. Frontiers Artif. Intell. 4: 710179 (2021) - [j16]Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston, Maxwell James D. Ramstead:
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. Neural Comput. 33(2): 398-446 (2021) - [j15]Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston:
Active Inference: Demystified and Compared. Neural Comput. 33(3): 674-712 (2021) - [j14]Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr:
Sophisticated Inference. Neural Comput. 33(3): 713-763 (2021) - [i5]Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston:
Bayesian brains and the Rényi divergence. CoRR abs/2107.05438 (2021) - [i4]Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston:
Active inference, Bayesian optimal design, and expected utility. CoRR abs/2110.04074 (2021) - 2020
- [j13]Thomas Parr:
Inferring What to Do (And What Not to). Entropy 22(5): 536 (2020) - [j12]Thomas Parr, Noor Sajid, Karl J. Friston:
Modules or Mean-Fields? Entropy 22(5): 552 (2020) - [j11]Daphne Demekas, Thomas Parr, Karl J. Friston:
An Investigation of the Free Energy Principle for Emotion Recognition. Frontiers Comput. Neurosci. 14: 30 (2020) - [j10]Ryan Smith, Philipp Schwartenbeck, Thomas Parr, Karl J. Friston:
An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case. Frontiers Comput. Neurosci. 14: 41 (2020) - [j9]Anthony G. Chen, David Benrimoh, Thomas Parr, Karl J. Friston:
A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework. Frontiers Artif. Intell. 3: 69 (2020) - [j8]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) - [i3]Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr:
Sophisticated Inference. CoRR abs/2006.04120 (2020) - [i2]Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess:
Action and Perception as Divergence Minimization. CoRR abs/2009.01791 (2020) - [i1]Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith:
The relationship between dynamic programming and active inference: the discrete, finite-horizon case. CoRR abs/2009.08111 (2020)
2010 – 2019
- 2019
- [j7]Thomas Parr, Karl J. Friston:
Generalised free energy and active inference. Biol. Cybern. 113(5-6): 495-513 (2019) - [j6]M. Berk Mirza, Rick A. Adams, Thomas Parr, Karl J. Friston:
Impulsivity and Active Inference. J. Cogn. Neurosci. 31(2) (2019) - [j5]Takuya Isomura, Thomas Parr, Karl J. Friston:
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence. Neural Comput. 31(12): 2390-2431 (2019) - [j4]Carolina Reis, Andrew Sharott, Peter J. Magill, Bernadette C. M. van Wijk, Thomas Parr, Peter Zeidman, Karl J. Friston, Hayriye Cagnan:
Thalamocortical dynamics underlying spontaneous transitions in beta power in Parkinsonism. NeuroImage 193: 103-114 (2019) - [j3]Peter Vincent, Thomas Parr, David Benrimoh, Karl J. Friston:
With an eye on uncertainty: Modelling pupillary responses to environmental volatility. PLoS Comput. Biol. 15(7) (2019) - [c1]Thomas Parr, Danijar Hafner, Karl J. Friston:
Disorders of Artificial Awareness. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - 2018
- [j2]Thomas Parr, Karl J. Friston:
The Anatomy of Inference: Generative Models and Brain Structure. Frontiers Comput. Neurosci. 12: 90 (2018) - [j1]Thomas Parr, Karl J. Friston:
The Discrete and Continuous Brain: From Decisions to Movement - And Back Again. Neural Comput. 30(9) (2018)
Coauthor Index
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