7 citations · 10 across the 5 of their papers we have counts for
5 papers
Extended Koopman Models
Span Spanbauer, Ian Hunter
We introduce two novel generalizations of the Koopman operator method of nonlinear dynamic modeling. Each of these generalizations leads to greatly improved predictive performance…
Rapid Generation of Stochastic Signals with Specified Statistics
Span Spanbauer, Ian Hunter
We demonstrate a novel algorithm for generating stationary stochastic signals with a specified power spectral density (or equivalently, via the Wiener-Khinchin relation, a specifie…
Coarse-Grained Nonlinear System Identification
Span Spanbauer, Ian Hunter
We introduce Coarse-Grained Nonlinear Dynamics, an efficient and universal parameterization of nonlinear system dynamics based on the Volterra series expansion. These models requir…
Neural Group Actions
Span Spanbauer, Luke Sciarappa
We introduce an algorithm for designing Neural Group Actions, collections of deep neural network architectures which model symmetric transformations satisfying the laws of a given…
Deep Involutive Generative Models for Neural MCMC
Span Spanbauer, Cameron Freer, Vikash Mansinghka
We introduce deep involutive generative models, a new architecture for deep generative modeling, and use them to define Involutive Neural MCMC, a new approach to fast neural MCMC.…