Anders Szepessy

According to our database, Anders Szepessy authored at least 13 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Convergence rates for random feature neural network approximation in molecular dynamics.

Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2024

2023

Path integral molecular dynamics approximations of quantum canonical observables.

Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2023

2021

Canonical mean-field molecular dynamics derived from quantum mechanics.

Xin Huang, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2021

2020

Smaller generalization error derived for deep compared to shallow residual neural networks.

Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy, Raúl Tempone

CoRR, 2020

Adaptive random Fourier features with Metropolis sampling.

Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2020

2016

Computable Error Estimates for Finite Element Approximations of Elliptic Partial Differential Equations with Rough Stochastic Data.

Eric Joseph Hall, Håkon Hoel, Mattias Sandberg, Anders Szepessy, Raúl Tempone

SIAM J. Sci. Comput., 2016

2015

An Error Estimate for Symplectic Euler Approximation of Optimal Control Problems.

Jesper Karlsson, Stig Larsson, Mattias Sandberg, Anders Szepessy, Raúl Tempone

SIAM J. Sci. Comput., 2015

2014

Implementation and analysis of an adaptive multilevel Monte Carlo algorithm.

Håkon Hoel, Erik von Schwerin, Anders Szepessy, Raúl Tempone

Monte Carlo Methods Appl., 2014

An adaptive mass algorithm for Car-Parrinello and Ehrenfest ab initio molecular dynamics.

Ashraful Kadir, Mattias Sandberg, Anders Szepessy

CoRR, 2014

2010

Adaptive weak approximation of reflected and stopped diffusions.

Christian Bayer, Anders Szepessy, Raúl Tempone

Monte Carlo Methods Appl., 2010

2008

Adaptive Weak Approximation of Diffusions with Jumps.

Ernesto Mordecki, Anders Szepessy, Raúl Tempone, Georgios E. Zouraris

SIAM J. Numer. Anal., 2008

2003

A variational principle for adaptive approximation of ordinary differential equations.

Kyoung-Sook Moon, Anders Szepessy, Raúl Tempone, Georgios E. Zouraris

Numerische Mathematik, 2003

Convergence rates for adaptive approximation of ordinary differential equations.

Kyoung-Sook Moon, Anders Szepessy, Raúl Tempone, Georgios E. Zouraris

Numerische Mathematik, 2003