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MaxEnt 2019 : Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering


When Jun 30, 2019 - Jul 5, 2019
Where Garching/Munich, GERMANY
Submission Deadline Apr 30, 2019
Notification Due May 15, 2019
Final Version Due Jul 1, 2019
Categories    bayesian inference   machine learning   inverse problems   big data

Call For Papers

Main topics of the workshop are the application of Bayesian inference and the maximum entropy principle to inverse problems in science, machine learning, information theory and engineering.

Inverse and uncertainty quantification (UQ) problems arise from a large variety of applications, such as earth science, astrophysics, material and plasma science, imaging in geophysics and medicine, nondestructive testing, density estimation, remote sensing, Gaussian process (GP) regression, optimal experimental design, data assimilation and data mining.

The workshop thus invites contributions on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference.

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