Search Results for author: Jonathan So

Found 4 papers, 3 papers with code

Identifiable Feature Learning for Spatial Data with Nonlinear ICA

no code implementations28 Nov 2023 Hermanni Hälvä, Jonathan So, Richard E. Turner, Aapo Hyvärinen

In this paper, we introduce a new nonlinear ICA framework that employs $t$-process (TP) latent components which apply naturally to data with higher-dimensional dependency structures, such as spatial and spatio-temporal data.

Disentanglement Variational Inference

Optimising Distributions with Natural Gradient Surrogates

1 code implementation18 Oct 2023 Jonathan So, Richard E. Turner

In this work we propose a novel technique for tackling such issues, which involves reframing the optimisation as one with respect to the parameters of a surrogate distribution, for which computing the natural gradient is easy.

Variational Inference

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