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Found 6 papers, 4 papers with code
Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
We formulate a combined model from simple units, representing strain envelopes (of each train passing) for two types of commuter train.
Encoding Domain Expertise into Multilevel Models for Source Location
Most interestingly, domain expertise and knowledge of the underlying physics can be encoded in the model at the system, subgroup, or population level.
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset
Face recognition technology has advanced significantly in recent years due largely to the availability of large and increasingly complex training datasets for use in deep learning models.
Grassmann Stein Variational Gradient Descent
Stein variational gradient descent (SVGD) is a deterministic particle inference algorithm that provides an efficient alternative to Markov chain Monte Carlo.
Energy-Based Models for Functional Data using Path Measure Tilting
Their ability to incorporate domain-specific choices and constraints into the structure of the model through composition make EBMs an appealing candidate for applications in physics, biology and computer vision and various other fields.
Density reconstruction from schlieren images through Bayesian nonparametric models
This study proposes a radically alternate approach for extracting quantitative information from schlieren images.
