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| = Transverse Science workshops 2018 = This series of one day workshops organised within the GECO group, is meant to present topics that are transverse to all activities within the group. The first workshop of this series will be about Machine Learning techniques and Numerical Simulations, or both (TBD). |
= Transverse Science Workshops = |
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| Please can you register below, and indicate whether you agree to contribute as a speaker, and what would be the subject of your presentation. | This is a series of workshops organised within the GECO group. The workshops are focussed on specific topics that are transverse to all research activities within the group. == Workshop 2018: Machine Learning and Numerical Simulations The first workshop of this series will be about Machine Learning and Numerical Simulations and will take pace at LAM on the 16th of April 2018. List of proposed presentations: |
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| ||Guilaine Lagache ||None || ||Carlo Schimd ||None || ||Annie Zavagno ||Big Data, Machine Learning and Star Formation properties || ||Annie Zavagno ||Numerical simulations of ionized regions || ||Olivier Ilbert ||None || |
#||Annie Zavagno ||Big Data, Machine Learning and Star Formation properties || #||Annie Zavagno ||Numerical simulations of ionized regions || |
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| ||JG Cuby ||None || ||Yana Khusanova ||None || ||Michael Blomqvist ||None || |
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| ||Samuel Boissier ||None || ||Olivier Kauffmann ||None || ||Abhishek Maniyar ||None || ||Mat Pieri ||None || ||Sean Morrison ||None || |
||Morgane Cousin || Review on semi-analytical models for galaxy formation || || ... || |
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Transverse Science Workshops
This is a series of workshops organised within the GECO group. The workshops are focussed on specific topics that are transverse to all research activities within the group.
== Workshop 2018: Machine Learning and Numerical Simulations
The first workshop of this series will be about Machine Learning and Numerical Simulations and will take pace at LAM on the 16th of April 2018.
List of proposed presentations:
Name |
Presentation Title |
Eric JULLO |
Machine Learning in Euclid Strong Lensing Working Group |
#||Annie Zavagno ||Big Data, Machine Learning and Star Formation properties || #||Annie Zavagno ||Numerical simulations of ionized regions ||
Ignasi Pérez Ràfols |
TBD - Introduction to Machine Learning on Python |
Kasia Malek |
Unsupervised machine learning algorithms for galaxy classification (based mostly on VIPERS sample) |
Christian Surace |
Maybe (status of french oppotunities in ML) |
Morgane Cousin |
Review on semi-analytical models for galaxy formation |
... |