We develop novel methods to make Bayesian inference more efficient, scalable, and practical. This includes work on variational methods, Monte Carlo algorithms, and techniques for handling complex ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for ...
P.O. Box 3 (Fabianinkatu 33) 00014 University of Helsinki Switchboard: +358 (0) 2941 911 (mobile call charge / local network charge) ...
In this project, the student will work on probabilistic modelling and machine-learning techniques to advance the current description of nuclear reactions in specific energy regimes of astrophysical ...
2025 NOV 05 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, ...
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