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cs.LG2022
Learning the parameters of a differential equation from its trajectory via the adjoint equation
Imre Fekete, András Molnár, Péter L. Simon
The paper contributes to strengthening the relation between machine learning and the theory of differential equations. In this context, the inverse problem of fitting the parameter…
quant-ph2022★ 10 cited
Matrix product operator algebras I: representations of weak Hopf algebras and projected entangled pair states
Andras Molnar, Alberto Ruiz de Alarcón, José Garre-Rubio +3
Matrix Product Operators (MPOs) are tensor networks representing operators acting on 1D systems. They model a wide variety of situations, including communication channels with memo…