Can we make progress on nonlinear blind source separation by drawing inspiration from the field of causal inference?

Introducing our #NeurIPS2021 paper "Independent mechanism analysis, a new concept?", joint work with @JKugelgen, @VStimper, @bschoelkopf and @MichelBesserve

1/9 We consider the "cocktail party problem", i.e. blind source separation (BSS):

In a room with many speakers, recording devices pick up (nonlinear) mixtures of what each person says. Given the recorded mixtures, we would like to reconstruct (separate) the original sources.

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