Smith42

7 ms·

31.
by Smith42 3y ago
Yep we are running out of text data, see https://doi.org/10.1098/rsos.221454
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by Smith42 3y ago
Please give it a read! It begins from first principles (Rosenblatts perceptron!) and builds from there so you might find it more general than you expect.
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by Smith42 3y ago
I wanted it to reach a more general audience, as the review is very general in itself (but maybe the original title does not reflect this as I thought)! There are alternating sections concentrating on the astronomy and the deep learning sid
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A History of Neural Networks(royalsocietypublishing.org)
24 points by Smith42 3y ago|6 comments
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Startup Wants to Give Farmers a Closer Look at Crops–From Space(wired.com)
1 points by Smith42 3y ago|0 comments
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PhD Simulator(research.wmz.ninja)
828 points by Smith42 3y ago|273 comments
37.
by Smith42 3y ago
Author here! We explore the past, present, and future of deep learning in astronomy. We predict that GPT-like foundation models will make a huge impact on the field, and that astronomy is ideally placed to supercharge open source large lang
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Astronomia ex machina: a history, primer and outlook on neural nets in astronomy(doi.org)
2 points by Smith42 3y ago|1 comments
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by Smith42 3y ago
I wrote a literature review on applying neural networks to astronomical problems -- I found that using applications really helped to iron out what is going on in the networks! Here's the link to the review https://arxiv.org&
40.
by Smith42 4y ago
Since this is pytorch it should run on cpu anyway. What am I missing?
41.
by Smith42 4y ago
Can I ask how old are you? I like your way of thinking
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by Smith42 4y ago
In recent years, deep learning has infiltrated every field it has touched, reducing the need for specialist knowledge and automating the process of knowledge discovery from data. This review argues that astronomy is no different, and that w
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Astronomia ex machina: a history, primer and outlook on neural nets in astronomy(arxiv.org)
3 points by Smith42 4y ago|1 comments
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Large Language Models as Simulators(generative.ink)
3 points by Smith42 4y ago|0 comments
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DeepMind's research director says that all we need for AGI is scale(twitter.com)
7 points by Smith42 4y ago|0 comments
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This Galaxy Does Not Exist(mjjsmith.com)
1 points by Smith42 5y ago|0 comments
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Realistic galaxy image simulation via score-based generative models(arxiv.org)
2 points by Smith42 5y ago|1 comments
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The most cited neural networks all build on work done in my labs(people.idsia.ch)
23 points by Smith42 5y ago|22 comments
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by Smith42 6y ago
You can also generate similar scale astronomical images with GANs! I worked on a model that could do this last year: Paper: https://arxiv.org/abs/1904.10286 7.6 gigapixel image: https://star.herts.ac.uk&#x2F
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Pix2Prof: Extracting sequential galaxy data with a language model(github.com)
1 points by Smith42 6y ago|0 comments
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A parallel Fortran framework for neural networks and deep learning(arxiv.org)
3 points by Smith42 7y ago|0 comments
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Show HN: Generating useful artificial astronomical surveys via deep learning(github.com)
2 points by Smith42 7y ago|0 comments