Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Markovic, Dimitrije"'
Autor:
Heins, Conor, Wu, Hao, Markovic, Dimitrije, Tschantz, Alexander, Beck, Jeff, Buckley, Christopher
Balancing computational efficiency with robust predictive performance is crucial in supervised learning, especially for critical applications. Standard deep learning models, while accurate and scalable, often lack probabilistic features like calibrat
Externí odkaz:
http://arxiv.org/abs/2408.16429
Autor:
Friston, Karl, Heins, Conor, Verbelen, Tim, Da Costa, Lancelot, Salvatori, Tommaso, Markovic, Dimitrije, Tschantz, Alexander, Koudahl, Magnus, Buckley, Christopher, Parr, Thomas
This paper describes a discrete state-space model -- and accompanying methods -- for generative modelling. This model generalises partially observed Markov decision processes to include paths as latent variables, rendering it suitable for active infe
Externí odkaz:
http://arxiv.org/abs/2407.20292
Active inference is a leading theory of perception, learning and decision making, which can be applied to neuroscience, robotics, psychology, and machine learning. Active inference is based on the expected free energy, which is mostly justified by th
Externí odkaz:
http://arxiv.org/abs/2402.14460
Autor:
Friston, Karl J., Da Costa, Lancelot, Tschantz, Alexander, Kiefer, Alex, Salvatori, Tommaso, Neacsu, Victorita, Koudahl, Magnus, Heins, Conor, Sajid, Noor, Markovic, Dimitrije, Parr, Thomas, Verbelen, Tim, Buckley, Christopher L
This paper concerns structure learning or discovery of discrete generative models. It focuses on Bayesian model selection and the assimilation of training data or content, with a special emphasis on the order in which data are ingested. A key move -
Externí odkaz:
http://arxiv.org/abs/2311.10300
Deep learning's immense capabilities are often constrained by the complexity of its models, leading to an increasing demand for effective sparsification techniques. Bayesian sparsification for deep learning emerges as a crucial approach, facilitating
Externí odkaz:
http://arxiv.org/abs/2309.12095
Autor:
Kheam, Sokha, Rubene, Diana, Markovic, Dimitrije, Ith, Saveng, Uk, On Norong, Soung, Soth, Ninkovic, Velemir
Publikováno v:
In Biological Control September 2024 196
A key feature of sequential decision making under uncertainty is a need to balance between exploiting--choosing the best action according to the current knowledge, and exploring--obtaining information about values of other actions. The multi-armed ba
Externí odkaz:
http://arxiv.org/abs/2101.08699
Sequential neuronal activity underlies a wide range of processes in the brain. Neuroscientific evidence for neuronal sequences has been reported in domains as diverse as perception, motor control, speech, spatial navigation and memory. Consequently,
Externí odkaz:
http://arxiv.org/abs/2004.00930
Akademický článek
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Autor:
Kheam, Sokha1,2 (AUTHOR), Markovic, Dimitrije3,4 (AUTHOR), Rubene, Diana3 (AUTHOR), Ith, Saveng2 (AUTHOR), Ninkovic, Velemir1 (AUTHOR) velemir.ninkovic@slu.se
Publikováno v:
Journal of Pest Science. Jun2023, Vol. 96 Issue 3, p1049-1059. 11p.