DOE OSTI · code-95427
BIhNNs
Abstract
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
Keep this discovery
Explore connections, maps & timelines
Dhulipala, Som, Skinner, Wendy. 2022-09-30. BIhNNs. https://doi.org/10.11578/dc.20221017.7
Cite the original work for its findings. Save a collection to share your selection of sources.