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20182023
most citedDisentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA

21 citations · 41 across the 4 of their papers we have counts for

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stat.ML2023★ 2 cited

Identifiable Feature Learning for Spatial Data with Nonlinear ICA

Hermanni Hälvä, Jonathan So, Richard E. Turner +1

Recently, nonlinear ICA has surfaced as a popular alternative to the many heuristic models used in deep representation learning and disentanglement. An advantage of nonlinear ICA i…