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Normalising Flows

3 papers with code · Methodology

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Block Neural Autoregressive Flow

9 Apr 2019nicola-decao/BNAF

Recently, as an alternative to hand-crafted bijections, Huang et al. (2018) proposed neural autoregressive flow (NAF) which is a universal approximator for density functions.

DENSITY ESTIMATION LATENT VARIABLE MODELS NORMALISING FLOWS

Implicit Weight Uncertainty in Neural Networks

3 Nov 2017pawni/BayesByHypernet

Modern neural networks tend to be overconfident on unseen, noisy or incorrectly labelled data and do not produce meaningful uncertainty measures.

NORMALISING FLOWS

Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows

30 Sep 2019jrmcornish/lgf

We show that Normalising Flows become pathological when used to model targets whose supports have complicated topologies.

DENSITY ESTIMATION NORMALISING FLOWS