Showing math.NAShow all
2 papers · 1 filter
math.NA2026
On low-rank tensor train approximability for linear nearest neighbor systems
Patrick GelÃ, Sebastian Matera, Reinhold Schneider +1
Low-rank tensor methods are an important tool in the numerical treatment of equations with a high-dimensional state space. Nearest neighbor interaction systems like the Ising model…
math.NA2024
Fredholm integral equations for function approximation and the training of neural networks
Patrick GelÃ, Aizhan Issagali, Ralf Kornhuber
We present a novel and mathematically transparent approach to function approximation and the training of large, high-dimensional neural networks, based on the approximate least-squ…