Here is a catalog of resources related to Machine Learning applications to Astronomy, Astrophysics and Astroparticles.
Do not hesitate to suggest contributions.
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Inter-Experimental LHC Machine Learning Working Group Guest Seminars:
- Open challenges for improving Generative Adversarial Networks (GANs), by Ian Goodfellow (October 27, 2017)
These schools are not necessarily entirely dedicated to ML
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Lisbon Machine Learning School: at the time of writing the application is closed. From the main page you can find the slides from the previous edition of the school (2017 edition for example): moreover there are also the video recordings of the lectures from past years editions (2017 Edition on Youtube, also 2016 is available).
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PAISS: Artificial Intelligence Summer School, Grenoble, France, 2-6 July 2018
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4th Machine Learning in High Energy Physics Summer School 2018 (August 6-12, 2018)
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ASTERICS-OBELICS Schools
- First ASTERICS-OBELICS International School, Annecy, France, 6-9 June 2017
- Second ASTERICS-OBELICS Internation School, Annecy, France, 4-8 June 2018. A session dedicated to machine learning.
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ADA IX Summer school, Valencia, Spain, 20-22 May 2018
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Introduction to GANs, by Luke de Oliveira (November 3, 2017)
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Frontiers with GANs, by Michela Paganini (November 3, 2017)
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Nikhef Colloquium: "Teaching machines to discover particles", by Gilles Louppe (September 29, 2017)
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CERN Academic Training Lecture Regular Programme, April 2017 (Machine Learning):
- Machine Learning (Lecture 1) --- Michael Kagan (SLAC)
- Machine Learning (Lecture 2) --- Michael Kagan (SLAC)
- Deep Learning and Vision --- Jonathon Shlens (Google Research)
These conferences and workshops are not necessarily entirely dedicated to ML
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2nd ASTERICS-OBELICS workshop, Barcelona, Spain, 16-19 October 2017
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ADASS series: Astronomical Data Analysis Software & Systems Conference Series
- ADASS XXVIII, USA, 11-15 November 2018
- ADASS XXVII, Santiago, Chile, 22-26 October 2017
- ADASS XXVI, Trieste, Italy, 21-23 October 2016
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CHEP: International Conference in High Energy and Nuclear Physics
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HAP Workshop: Big Data Science in Astroparticle Physics
This workshop had a initial parte with a hands-on session on a GPU cluster.
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scikit-learn: Python module for machine learning
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AstroML: Python module for machine learning and data mining in Astronomy
- Resources for machine learning applications in High Energy Physics from which this page is largely inspired
List of astro machine learning papers
a .bib and associated .tex may be found in this repository.
To add a reference:
- Update the .bib with reference including abstract
- run the .tex with biber (or pdflatexmk engine)