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The last 5 uploaded publications
From pixels to planning: scale-free active inference
Karl Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Marković, Alexander Tschantz, Magnus Koudahl, Christopher L. Buckley, Thomas Parr (2024). From pixels to planning: scale-free active inference. , DOI: https://doi.org/10.48550/arxiv.2407.20292.
Preprint176 days agoEditorial: Probabilistic Perspectives on Brain (Dys)function
Thomas Parr, Dimitrije Marković, Maxwell J. D. Ramstead, Ryan Smith, Casper Hesp, Karl Friston (2021). Editorial: Probabilistic Perspectives on Brain (Dys)function. , 4, DOI: https://doi.org/10.3389/frai.2021.710179.
Editorial material176 days agoBayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction
Dimitrije Marković, Karl Friston, Stefan J. Kiebel (2024). Bayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction. , 12, DOI: https://doi.org/10.1109/access.2024.3417219.
Article176 days agoSupervised structure learning
Karl Friston, Lancelot Da Costa, Alexander Tschantz, Alex Kiefer, Tommaso Salvatori, Victorita Neacsu, Magnus Koudahl, Conor Heins, Noor Sajid, Dimitrije Marković, Thomas Parr, Tim Verbelen, Christopher L. Buckley (2024). Supervised structure learning. , 193, DOI: https://doi.org/10.1016/j.biopsycho.2024.108891.
Article176 days agoBayesian sparsification for deep neural networks with Bayesian model reduction
Dimitrije Marković, Karl Friston, Stefan J. Kiebel (2023). Bayesian sparsification for deep neural networks with Bayesian model reduction. , DOI: https://doi.org/10.48550/arxiv.2309.12095.
Preprint176 days ago