Thomas Parr - RankMe

47 papers A 1Journal 45Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Active Inference and Functional Parametrisation: Differential Flatness and Smooth Random Realisation. Entropy Hugues Mounier, Thomas Parr, Karl J. Friston
2025	J	`jnl`	Active Inference and Intentional Behavior. Neural Comput. Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2025	A	`conf`	Extracting High Quality Data Subsets Using Monte-Carlo Search. DIS Ghurumuruhan Ganesan, Thomas Parr, Aasna Choudhary
2025	J	`jnl`	Five Fristonian Formulae. Entropy Thomas Parr, Giovanni Pezzulo, Rosalyn Moran, Maxwell Ramstead, Axel Constant, Anjali Bhat
2025	J	`jnl`	Gradient-Free De Novo Learning. Entropy Karl J. Friston, Thomas Parr, Conor Heins, Lancelot Da Costa, Tommaso Salvatori, Alexander Tschantz, Magnus T. Koudahl, Toon Van de Maele, Christopher Buckley, Tim Verbelen
2025	J	`jnl`	SPM 25: open source neuroimaging analysis software. J. Open Source Softw. Tim M. Tierney, Nicholas Alexander, John Ashburner, Nicole Labra Avila, Yaël Balbastre, Gareth R. Barnes, Yulia Bezsudnova, Mikael Brudfors, Korbinian Eckstein, Guillaume Flandin, Karl J. Friston, Amirhossein Jafarian, Olivia S. Kowalczyk, Vladimir Litvak, Johan Medrano, Stephanie Mellor, George C. O'Neill, Thomas Parr, Adeel Razi, Ryan C. Timms, Peter Zeidman
2024	J	`jnl`	Active Data Selection and Information Seeking. Algorithms Thomas Parr, Karl J. Friston, Peter Zeidman
2024	J	`jnl`	From pixels to planning: scale-free active inference. CoRR Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr
2024	J	`jnl`	The Many Roles of Precision in Action. Entropy Jakub Limanowski, Rick A. Adams, James Kilner, Thomas Parr
2023	J	`jnl`	A Variational Synthesis of Evolutionary and Developmental Dynamics. Entropy Karl J. Friston, Daniel Ari Friedman, Axel Constant, V. Bleu Knight, Chris Fields, Thomas Parr, John O. Campbell
2023	J	`jnl`	A primer on Variational Laplace (VL). NeuroImage Peter Zeidman, Karl J. Friston, Thomas Parr
2023	J	`jnl`	Active Inference and Intentional Behaviour. CoRR Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2023	J	`jnl`	Reward Maximization Through Discrete Active Inference. Neural Comput. Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith
2023	J	`jnl`	Supervised structure learning. CoRR 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
2022	J	`jnl`	Bayesian Brains and the Rényi Divergence. Neural Comput. Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2022	J	`jnl`	In the Body's Eye: The computational anatomy of interoceptive inference. PLoS Comput. Biol. Micah Allen, Andrew Levy, Thomas Parr, Karl J. Friston
2022	J	`jnl`	Reclaiming saliency: Rhythmic precision-modulated action and perception. Frontiers Neurorobotics Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid
2022	J	`jnl`	Reclaiming saliency: rhythmic precision-modulated action and perception. CoRR Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid
2021	J	`jnl`	Active Inference: Demystified and Compared. Neural Comput. Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston
2021	J	`jnl`	Active inference, Bayesian optimal design, and expected utility. CoRR Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston
2021	J	`jnl`	Bayesian brains and the Rényi divergence. CoRR Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston
2021	J	`jnl`	Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. Neural Comput. Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston, Maxwell James D. Ramstead
2021	J	`jnl`	Editorial: Probabilistic Perspectives on Brain (Dys)function. Frontiers Artif. Intell. Thomas Parr, Dimitrije Markovic, Maxwell James D. Ramstead, Ryan Smith, Casper Hesp, Karl J. Friston
2021	J	`jnl`	Generative Models for Active Vision. Frontiers Neurorobotics Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston
2021	J	`jnl`	Memory and Markov Blankets. Entropy Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston
2021	J	`jnl`	Message Passing and Metabolism. Entropy Thomas Parr
2021	J	`jnl`	Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy Lancelot Da Costa, Thomas Parr, Biswa Sengupta, Karl J. Friston
2021	J	`jnl`	Some Interesting Observations on the Free Energy Principle. Entropy Karl J. Friston, Lancelot Da Costa, Thomas Parr
2021	J	`jnl`	Sophisticated Inference. Neural Comput. Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
2021	J	`jnl`	Stochastic Chaos and Markov Blankets. Entropy Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr
2020	J	`jnl`	A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework. Frontiers Artif. Intell. Anthony G. Chen, David Benrimoh, Thomas Parr, Karl J. Friston
2020	J	`jnl`	Action and Perception as Divergence Minimization. CoRR Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess
2020	J	`jnl`	An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case. Frontiers Comput. Neurosci. Ryan Smith, Philipp Schwartenbeck, Thomas Parr, Karl J. Friston
2020	J	`jnl`	An Investigation of the Free Energy Principle for Emotion Recognition. Frontiers Comput. Neurosci. Daphne Demekas, Thomas Parr, Karl J. Friston
2020	J	`jnl`	Deep Active Inference and Scene Construction. Frontiers Artif. Intell. Conor Heins, M. Berk Mirza, Thomas Parr, Karl J. Friston, Igor Kagan, Arezoo Pooresmaeili
2020	J	`jnl`	Inferring What to Do (And What Not to). Entropy Thomas Parr
2020	J	`jnl`	Modules or Mean-Fields? Entropy Thomas Parr, Noor Sajid, Karl J. Friston
2020	J	`jnl`	Sophisticated Inference. CoRR Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
2020	J	`jnl`	The relationship between dynamic programming and active inference: the discrete, finite-horizon case. CoRR Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith
2019	J	`jnl`	Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence. Neural Comput. Takuya Isomura, Thomas Parr, Karl J. Friston
2019	—	`conf`	Disorders of Artificial Awareness. AAAI Spring Symposium: Towards Conscious AI Systems Thomas Parr, Danijar Hafner, Karl J. Friston
2019	J	`jnl`	Generalised free energy and active inference. Biol. Cybern. Thomas Parr, Karl J. Friston
2019	J	`jnl`	Impulsivity and Active Inference. J. Cogn. Neurosci. M. Berk Mirza, Rick A. Adams, Thomas Parr, Karl J. Friston
2019	J	`jnl`	Thalamocortical dynamics underlying spontaneous transitions in beta power in Parkinsonism. NeuroImage Carolina Reis, Andrew Sharott, Peter J. Magill, Bernadette C. M. van Wijk, Thomas Parr, Peter Zeidman, Karl J. Friston, Hayriye Cagnan
2019	J	`jnl`	With an eye on uncertainty: Modelling pupillary responses to environmental volatility. PLoS Comput. Biol. Peter Vincent, Thomas Parr, David Benrimoh, Karl J. Friston
2018	J	`jnl`	The Anatomy of Inference: Generative Models and Brain Structure. Frontiers Comput. Neurosci. Thomas Parr, Karl J. Friston
2018	J	`jnl`	The Discrete and Continuous Brain: From Decisions to Movement - And Back Again. Neural Comput. Thomas Parr, Karl J. Friston