7 citations · 15 across the 11 of their papers we have counts for
3 papers · 1 filter
A Statistician's Overview of Physics-Informed Neural Networks for Spatio-Temporal Data
Christopher K. Wikle, Joshua North, Giri Gopalan +1
The recent success of deep neural network models with physical constraints (so-called, Physics-Informed Neural Networks, PINNs) has led to renewed interest in the incorporation of…
A higher-order singular value decomposition tensor emulator for spatio-temporal simulators
Giri Gopalan, Christopher K. Wikle
We introduce methodology to construct an emulator for environmental and ecological spatio-temporal processes that uses the higher order singular value decomposition (HOSVD) as an e…
A Hierarchical Spatio-Temporal Statistical Model Motivated by Glaciology
Giri Gopalan, Birgir Hrafnkelsson, Christopher K. Wikle +4
In this paper, we extend and analyze a Bayesian hierarchical spatio-temporal model for physical systems. A novelty is to model the discrepancy between the output of a computer simu…