5,584 research outputs found
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
A large proportion of recent invertible neural architectures is based on a
coupling block design. It operates by dividing incoming variables into two
sub-spaces, one of which parameterizes an easily invertible (usually affine)
transformation that is applied to the other. While the Jacobian of such a
transformation is triangular, it is very sparse and thus may lack
expressiveness. This work presents a simple remedy by noting that (affine)
coupling can be repeated recursively within the resulting sub-spaces, leading
to an efficiently invertible block with dense triangular Jacobian. By
formulating our recursive coupling scheme via a hierarchical architecture, HINT
allows sampling from a joint distribution p(y,x) and the corresponding
posterior p(x|y) using a single invertible network. We demonstrate the power of
our method for density estimation and Bayesian inference on a novel data set of
2D shapes in Fourier parameterization, which enables consistent visualization
of samples for different dimensionalities
Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression
We present a new method for the detection of gene pathways associated with a
multivariate quantitative trait, and use it to identify causal pathways
associated with an imaging endophenotype characteristic of longitudinal
structural change in the brains of patients with Alzheimer's disease (AD). Our
method, known as pathways sparse reduced-rank regression (PsRRR), uses group
lasso penalised regression to jointly model the effects of genome-wide single
nucleotide polymorphisms (SNPs), grouped into functional pathways using prior
knowledge of gene-gene interactions. Pathways are ranked in order of importance
using a resampling strategy that exploits finite sample variability. Our
application study uses whole genome scans and MR images from 464 subjects in
the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. 66,182 SNPs
are mapped to 185 gene pathways from the KEGG pathways database. Voxel-wise
imaging signatures characteristic of AD are obtained by analysing 3D patterns
of structural change at 6, 12 and 24 months relative to baseline. High-ranking,
AD endophenotype-associated pathways in our study include those describing
chemokine, Jak-stat and insulin signalling pathways, and tight junction
interactions. All of these have been previously implicated in AD biology. In a
secondary analysis, we investigate SNPs and genes that may be driving pathway
selection, and identify a number of previously validated AD genes including
CR1, APOE and TOMM40
On Accelerated Inertial Frames in Gravity and Electromagnetism
When a charged insulating spherical shell is uniformly accelerated, an
oppositely directed electric field is produced inside. Outside the field is the
Born field of a uniformly accelerated charge, modified by a dipole. Radiation
is produced. When the acceleration is annulled by the nearly uniform gravity
field of an external shell with a 1 + beta cos theta surface distribution of
mass, the differently viewed Born field is static and joins a static field
outside the external shell; no radiation is produced. We discuss gravitational
analogues of these phenomena. When a massive spherical shell is accelerated, an
untouched test mass inside experiences a uniform gravity field and accelerates
parallelly to the surrounding shell. In the strong gravity regime we illustrate
these effects using exact conformastatic solutions of the Einstein-Maxwell
equations with charged dust. We consider a massive charged shell on which the
forces due to nearly uniform electrical and gravitational fields balance. Both
fields are reduced inside by the ratio of the g_00 inside the shell to that
away from it. The acceleration of a free test particle, relative to a static
observer, is reduced correspondingly. We give physical explanations of these
effects.Comment: 25 pages, LaTeX with 6 encapsulated postscript figures included. To
appear in Annals of Physic
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