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cs.LG2022★ 5 cited
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch +2
Neural networks have achieved tremendous success in a large variety of applications. However, their memory footprint and computational demand can render them impractical in applica…
math.NA2022
Rank-adaptive time integration of tree tensor networks
Gianluca Ceruti, Christian Lubich, Dominik Sulz
A rank-adaptive integrator for the approximate solution of high-order tensor differential equations by tree tensor networks is proposed and analyzed. In a recursion from the leaves…