posted by user: maxent2019 || 5380 views || tracked by 11 users: [display]

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

FacebookTwitterLinkedInGoogle

Link: http://www.ipp.mpg.de/maxent2019
 
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.

Related Resources

ICML 2022   39th International Conference on Machine Learning
ICDM 2022   22nd IEEE International Conference on Data Mining
SI NBMiBS 2022   SPECIAL ISSUE on Novel Bayesian Methods in Biopharmaceutical Statistics
MLDM 2023   18th International Conference on Machine Learning and Data Mining
ICLA 2022   10th Indian Conference on Logic and its Applications
ICMLA 2022   IEEE International conference on Machine Learning and Applications
AISTATS 2022   25th International Conference on Artificial Intelligence and Statistics
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
EMNLP 2022   Conference on Empirical Methods in Natural Language Processing
SEFM 2022   20th International Conference on Software Engineering and Formal Methods