Search Results for author: Anna Scaife

Found 4 papers, 3 papers with code

IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors

1 code implementation5 Jan 2025 Noé Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Laurence Perreault-Levasseur, Yashar Hezaveh, Anna Scaife

Inferring sky surface brightness distributions from noisy interferometric data in a principled statistical framework has been a key challenge in radio astronomy.

Astronomy Image Reconstruction +1

Quantum Machine Learning for Radio Astronomy

no code implementations5 Dec 2021 Mohammad Kordzanganeh, Aydin Utting, Anna Scaife

In this work we introduce a novel approach to the pulsar classification problem in time-domain radio astronomy using a Born machine, often referred to as a quantum neural network.

Astronomy BIG-bench Machine Learning +2

Weight Pruning and Uncertainty in Radio Galaxy Classification

1 code implementation23 Nov 2021 Devina Mohan, Anna Scaife

In this work we use variational inference to quantify the degree of epistemic uncertainty in model predictions of radio galaxy classification and show that the level of model posterior variance for individual test samples is correlated with human uncertainty when labelling radio galaxies.

Classification Data Augmentation +1

E(2) Equivariant Self-Attention for Radio Astronomy

1 code implementation8 Nov 2021 Micah Bowles, Matthew Bromley, Max Allen, Anna Scaife

In this work we introduce group-equivariant self-attention models to address the problem of explainable radio galaxy classification in astronomy.

Astronomy

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