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Niall Jeffrey
ORCID
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 6
Top Topics
Sampling Rate
Application Of Machine Learning Methods
Bayesian Model
Parameter Space
Top Venues
CoRR
Astron. Comput.
EUSIPCO
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Publications
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Niall Jeffrey
,
Benjamin D. Wandelt
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison.
CoRR
(2023)
Pablo Lemos
,
Niall Jeffrey
,
Miles D. Cranmer
,
Shirley Ho
,
Peter W. Battaglia
Rediscovering orbital mechanics with machine learning.
CoRR
(2022)
Benjamin Remy
,
Francois Lanusse
,
Niall Jeffrey
,
Jia Liu
,
Jean-Luc Starck
,
Ken Osato
,
Tim Schrabback
Probabilistic Mass Mapping with Neural Score Estimation.
CoRR
(2022)
Niall Jeffrey
,
Benjamin D. Wandelt
Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks.
CoRR
(2020)
Niall Jeffrey
,
Alan Heavens
,
P. D. Fortio
Fast sampling from Wiener posteriors for image data with dataflow engines.
Astron. Comput.
25 (2018)
Konstantinos E. Themelis
,
Francois Lanusse
,
Niall Jeffrey
,
Austin Peel
,
Jean-Luc Starck
,
Filipe B. Abdalla
Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology.
EUSIPCO
(2018)