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20192025
most citedLow-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations

5 citations · 18 across the 18 of their papers we have counts for

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2 papers · 1 filter

math.NA2020

An unconventional robust integrator for dynamical low-rank approximation

Gianluca Ceruti, Christian Lubich

We propose and analyse a numerical integrator that computes a low-rank approximation to large time-dependent matrices that are either given explicitly via their increments or are t…

math.NA2020

Time integration of tree tensor networks

Gianluca Ceruti, Christian Lubich, Hanna Walach

Dynamical low-rank approximation by tree tensor networks is studied for the data-sparse approximation to large time-dependent data tensors and unknown solutions of tensor different…