Dr Micah Bowles: Publications

Quantifying uncertainty in deep learning approaches to radio galaxy classification

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 511:3 (2022) 3722-3740

Authors:

Devina Mohan, Anna MM Scaife, Fiona Porter, Mike Walmsley, Micah Bowles

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Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification

ArXiv 2201.01203 (2022)

Authors:

Devina Mohan, Anna MM Scaife, Fiona Porter, Mike Walmsley, Micah Bowles

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E(2) Equivariant Self-Attention for Radio Astronomy

ArXiv 2111.04742 (2021)

Authors:

Micah Bowles, Matthew Bromley, Max Allen, Anna Scaife

Details from ArXiV

Structured variational inference for simulating populations of radio galaxies

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 503:3 (2021) 3351-3370

Authors:

David J Bastien, Anna MM Scaife, Hongming Tang, Micah Bowles, Fiona Porter

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Structured Variational Inference for Simulating Populations of Radio Galaxies

ArXiv 2102.01007 (2021)

Authors:

David J Bastien, Anna MM Scaife, Hongming Tang, Micah Bowles, Fiona Porter

Details from ArXiV

Dr Micah Bowles

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Quantifying uncertainty in deep learning approaches to radio galaxy classification

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Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification

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E(2) Equivariant Self-Attention for Radio Astronomy

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Structured variational inference for simulating populations of radio galaxies

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Structured Variational Inference for Simulating Populations of Radio Galaxies

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Dr Micah Bowles

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Quantifying uncertainty in deep learning approaches to radio galaxy classification

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Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification

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E(2) Equivariant Self-Attention for Radio Astronomy

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Structured variational inference for simulating populations of radio galaxies

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Structured Variational Inference for Simulating Populations of Radio Galaxies

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