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20122023
most citedOperator-valued Kernels for Learning from Functional Response Data

62 citations · 127 across the 25 of their papers we have counts for

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quant-ph2023

Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens

Balthazar Casalé, Giuseppe Di Molfetta, Sandrine Anthoine +1

The quantum separability problem consists in deciding whether a bipartite density matrix is entangled or separable. In this work, we propose a machine learning pipeline for finding…

stat.ML2023★ 1 cited

Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator

Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

Reproducing kernel Hilbert -module (RKHM) is a generalization of reproducing kernel Hilbert space (RKHS) by means of -algebra, and the Perron-Frobenius operator is a line…