Items where Author is "
Smith, Michael J.
"
Number of items:
4
.
Item Type
No Grouping
Astronomia ex machina: a history, primer and outlook on neural networks in astronomy. (2023)
Michael J. Smith
and
James E. Geach
Using Deep Learning to Explore Ultra-Large Scale Astronomical Datasets. (2022)
Michael J. Smith
AstroVaDEr: Astronomical Variational Deep Embedder for Unsupervised Morphological Classification of Galaxies and Synthetic Image Generation. (2021)
Ashley Spindler
,
James E. Geach
and
Michael J. Smith
Generative deep fields : arbitrarily sized, random synthetic astronomical images through deep learning. (2019)
Michael J. Smith
and
James E. Geach
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