Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences (2022)
Attributed to:
Particle Physics Experimental Consolidated Grant (2015-2019)
funded by
STFC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1088/2632-2153/ac4a3b
Publication URI: http://dx.doi.org/10.1088/2632-2153/ac4a3b
Type: Journal Article/Review
Parent Publication: Machine Learning: Science and Technology
Issue: 1