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James E. Geach

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2020 – today

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2023
[i4]
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  - journals/corr/abs-2309-07207
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Michael J. Smith, Luke Fleming, James E. Geach:
EarthPT: a foundation model for Earth Observation. CoRR abs/2309.07207 (2023)
2022
[i3]
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  - journals/corr/abs-2211-03796
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Michael J. Smith, James E. Geach:
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy. CoRR abs/2211.03796 (2022)
2021
[i2]
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  - journals/corr/abs-2111-01713
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Michael J. Smith, James E. Geach, Ryan A. Jackson, Nikhil Arora, Connor Stone, Stéphane Courteau:
Realistic galaxy image simulation via score-based generative models. CoRR abs/2111.01713 (2021)
2020
[i1]
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  - journals/corr/abs-2010-00622
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Michael J. Smith, Nikhil Arora, Connor Stone, Stéphane Courteau, James E. Geach:
Pix2Prof: fast extraction of sequential information from galaxy imagery via deep learning. CoRR abs/2010.00622 (2020)

2010 – 2019

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2017
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  - conf/ijcnn/HockingSGD17
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Alex Hocking, Yi Sun, James E. Geach, Neil Davey:
Mining Hubble Space Telescope images. IJCNN 2017: 4179-4186

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