69 citations · 324 across the 26 of their papers we have counts for
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stat.AP2018
Learning in the Absence of Training Data -- a Galactic Application
Cedric Spire, Dalia Chakrabarty
There are multiple real-world problems in which training data is unavailable, and still, the ambition is to learn values of the system parameters, at which test data on an observab…
stat.ME2018★ 1 cited
Deep Bayesian Supervised Learning given Hypercuboidally-shaped, Discontinuous Data, using Compound Tensor-Variate & Scalar-Variate Gaussian Processes
Kangrui Wang, Dalia Chakrabarty
We undertake Bayesian learning of the high-dimensional functional relationship between a system parameter vector and an observable, that is in general tensor-valued. The ultimate a…