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19912026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations

Showing 2010 · math.NAShow all

6 papers · 2 filters

math.NA2010

A patch that imparts unconditional stability to certain explicit integrators for SDEs

Nawaf Bou-Rabee, Eric Vanden-Eijnden

This paper proposes a simple strategy to simulate stochastic differential equations (SDE) arising in constant temperature molecular dynamics. The main idea is to patch an explicit…

math.NA2010

Low-rank matrix recovery via iteratively reweighted least squares minimization

Massimo Fornasier, Holger Rauhut, Rachel Ward

We present and analyze an efficient implementation of an iteratively reweighted least squares algorithm for recovering a matrix from a small number of linear measurements. The algo…

math.NA2010★ 4 cited

Frozen Gaussian approximation for general linear strictly hyperbolic system: formulation and Eulerian methods

Jianfeng Lu, Xu Yang

The frozen Gaussian approximation, proposed in [Lu and Yang, [15]], is an efficient computational tool for high frequency wave propagation. We continue in this paper the developmen…

math.NA2010★ 2 cited

Frozen Gaussian approximation for high frequency wave propagation

Jianfeng Lu, Xu Yang

We propose the frozen Gaussian approximation for computation of high frequency wave propagation. This method approximates the solution to the wave equation by an integral represent…

math.NA2010★ 1 cited

A counterexample showing the semi-explicit Lie-Newmark algorithm is not variational

Nawaf Bou-Rabee, Giulia Ortolan, Alessandro Saccon

This paper presents a counterexample to the conjecture that the semi-explicit Lie-Newmark algorithm is variational. As a consequence the Lie-Newmark method is not well-suited for l…

math.NA2010★ 1 cited

Fast construction of hierarchical matrix representation from matrix-vector multiplication

Lin Lin, Jianfeng Lu, Lexing Ying

We develop a hierarchical matrix construction algorithm using matrix-vector multiplications, based on the randomized singular value decomposition of low-rank matrices. The algorith…