Concept

Covariance and contravariance of vectors

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Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Stefano Massei

Evaluating the action of a matrix function on a vector, that is

x=f(\mathcal M)v

, is an ubiquitous task in applications. When

\mathcal M

is large, one usually relies on Krylov projection methods. In this paper, we provide effective choices for the pole ...

2019

Covariance and contravariance of vectors

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Randomized flexible GMRES with deflated restarting

Dynamically Orthogonal Approximation for Stochastic Differential Equations

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)

On compact representations of Voronoi cells of lattices

Wavelet analysis of the Besov regularity of Levy white noise

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

On compact representations of Voronoi cells of lattices

Low-latency speaker spotting with online diarization and detection

Method, system, and device for learned invariant feature transform for computer images

Structure preserving model reduction of parametric Hamiltonian systems

Low-latency speaker spotting with online diarization and detection

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

On compact representations of Voronoi cells of lattices

Structure preserving model reduction of parametric Hamiltonian systems

Wavelet analysis of the Besov regularity of Levy white noise

Method, system, and device for learned invariant feature transform for computer images

Randomized flexible GMRES with deflated restarting

Dynamically Orthogonal Approximation for Stochastic Differential Equations

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)

On compact representations of Voronoi cells of lattices