Niall Jeffrey

According to our database, Niall Jeffrey authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison.

Niall Jeffrey, Benjamin D. Wandelt

Mach. Learn. Sci. Technol., March, 2024

2023

Rediscovering orbital mechanics with machine learning.

Pablo Lemos, Niall Jeffrey, Miles D. Cranmer, Shirley Ho, Peter W. Battaglia

Mach. Learn. Sci. Technol., December, 2023

2022

Probabilistic Mass Mapping with Neural Score Estimation.

Benjamin Remy, François Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback

CoRR, 2022

2020

Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks.

Niall Jeffrey, Benjamin D. Wandelt

CoRR, 2020

2018

Fast sampling from Wiener posteriors for image data with dataflow engines.

Niall Jeffrey, Alan Heavens, P. D. Fortio

Astron. Comput., 2018

Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology.

Konstantinos E. Themelis, François Lanusse, Niall Jeffrey, Austin Peel, Jean-Luc Starck, Filipe B. Abdalla

Proceedings of the 26th European Signal Processing Conference, 2018