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Colloquium details

Name Center for Theoretical Physics Colloquium
Title Phase Detection with Neural Networks: Interpreting the Black Box
Details

Neural networks (NNs) normally do not allow any insight into the reasoning behind their predictions. We demonstrate how influence functions can unravel the black box of NN when trainedto predict the phases of the one-dimensional extended spinless Fermi-Hubbard model at half-filling.Results are the first indication that the NN correctly learns an order parameter describing thetransition. Moreover, we demonstrate that influence functions not only allow to check that the network trained to recognize known quantum phases can predict new unknown ones but even disclosesinformation about the type of phase transition.

Time Wednesday, 22 April 2020, at 12:30 CEST The seminar was held!
Speaker

Anna Dawid  (Faculty of Physics, University of Warsaw, Warsaw, Poland & ICFO-Institut de Ciencies Fotoniques, Castelldefels (Barcelona), Spain)

Seminar Language English
Organisers Maciej Bilicki; Adam Sawicki; Krzysztof Pawłowski; Julius Serbenta;