Machine Learning in Astronomy
This will be an afternoon workshop, which will bring together statisticians, machine learners and physicists to introduce academics and PhD students to the range of research challenges that sit at the interface of these research fields. The event will be held in A54 Postgraduate Statistics Centre, Lancaster University. The event is free to attend, but attendees must register for a ticket in advance.
|13:00 - 13:15||Opening and introductions|
|13:15 - 14:00||David van Dyk||Data-Driven and Science-Driven Bayesian Methods in Astronomy and Solar Physics.|
|14:00 - 14:45||Chris Arridge||Research Challenges in Solar System Plasmas.|
|14:45 - 15:15||Coffee break|
|15:15 - 16:00||Florent Leclercq||Bayesian inference with black-box cosmological models.|
|16:00 - 16:45||Ingo Waldmann||Deep learning exoplanets and the solar system.|
|16:45 - 18:00||Wine reception and poster session|
Abstracts are now available to view.
This event is jointly organised by the Royal Statistical Society Statistical Computing Section, and the Royal Statistical Society Lancashire and Cumbria local group.