
Error Estimation for Sketched SVD via the Bootstrap
In order to compute fast approximations to the singular value decomposit...
read it

Forecasting Sequential Data using Consistent Koopman Autoencoders
Recurrent neural networks are widely used on time series data, yet such ...
read it

Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching
Although the operator (spectral) norm is one of the most widely used met...
read it

Randomized methods to characterize largescale vortical flow network
We demonstrate the effective use of randomized methods for linear algebr...
read it

Physicsinformed Autoencoders for Lyapunovstable Fluid Flow Prediction
In addition to providing highprofile successes in computer vision and n...
read it

JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks
It has been demonstrated that very simple attacks can fool highlysophis...
read it

Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data
In many applications, it is important to reconstruct a fluid flow field,...
read it

RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology
Retinal template matching and registration is an important challenge in ...
read it

Sparse Principal Component Analysis via Variable Projection
Sparse principal component analysis (SPCA) has emerged as a powerful tec...
read it

Diffusion Maps meet Nyström
Diffusion maps are an emerging datadriven technique for nonlinear dime...
read it

Randomized Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) is a powerful tool for data minin...
read it

Randomized CP Tensor Decomposition
The CANDECOMP/PARAFAC (CP) tensor decomposition is a popular dimensional...
read it

Randomized Dynamic Mode Decomposition
This paper presents a randomized algorithm for computing the nearoptima...
read it

Randomized Matrix Decompositions using R
Matrix decompositions are fundamental tools in the area of applied mathe...
read it

Compressed Dynamic Mode Decomposition for Background Modeling
We introduce the method of compressed dynamic mode decomposition (cDMD) ...
read it

Randomized LowRank Dynamic Mode Decomposition for Motion Detection
This paper introduces a fast algorithm for randomized computation of a l...
read it
N. Benjamin Erichson
is this you? claim profile