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Browsing University of Hertfordshire by Author "Smith, Michael J."
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Astronomia ex machina: a history, primer and outlook on neural networks in astronomy
Smith, Michael J.; Geach, James E. (2023-05-31)In this review, we explore the historical development and future prospects of artificial intelligence (AI) and deep learning in astronomy. We trace the evolution of connectionism in astronomy through its three waves, from ... -
AstroVaDEr: Astronomical Variational Deep Embedder for Unsupervised Morphological Classification of Galaxies and Synthetic Image Generation
Spindler, Ashley; Geach, James E.; Smith, Michael J. (2021-03-01)We present AstroVaDEr (Astronomical Variational Deep Embedder), a variational autoencoder designed to perform unsupervised clustering and synthetic image generation using astronomical imaging catalogues. The model is a ... -
Generative deep fields : arbitrarily sized, random synthetic astronomical images through deep learning
Smith, Michael J.; Geach, James E. (2019-10-21)Generative Adversarial Networks (GANs) are a class of artificial neural network that can produce realistic, but artificial, images that resemble those in a training set. In typical GAN architectures these images are small, ... -
Using Deep Learning to Explore Ultra-Large Scale Astronomical Datasets
Smith, Michael J. (2022-11-03)In every field that deep learning has infiltrated we have seen a reduction in the use of specialist knowledge, to be replaced with knowledge automatically derived from data. We have already seen this process play out in ...