251 citations · 487 across the 35 of their papers we have counts for
3 papers · 1 filter
Differential Privacy Over Riemannian Manifolds
Matthew Reimherr, Karthik Bharath, Carlos Soto
In this work we consider the problem of releasing a differentially private statistical summary that resides on a Riemannian manifold. We present an extension of the Laplace or K-no…
Modern Non-Linear Function-on-Function Regression
Aniruddha Rajendra Rao, Matthew Reimherr
We introduce a new class of non-linear function-on-function regression models for functional data using neural networks. We propose a framework using a hidden layer consisting of c…
Non-linear Functional Modeling using Neural Networks
Aniruddha Rajendra Rao, Matthew Reimherr
We introduce a new class of non-linear models for functional data based on neural networks. Deep learning has been very successful in non-linear modeling, but there has been little…